Browse 2080 live warehouse jobs across South Africa. Salary guide, top employers and free apply links. Updated regularly.

**Required skills**

* Engineering

**Who We Are**
==============


Zefir is building an AI autopilot for home sales in Europe, starting in France: an AI agent runs the entire sale and purchase journey end\-to\-end, orchestrating local brokers, portals, buyers, and documents.


Backed by over $55 million from top\-tier investors like Sequoia Capital, we're committed to accelerating life changes for millions of current and future European homeowners.


An AI agent that runs a property transaction end to end only works if the data underneath it is available, reliable and governed. That is the job.

**Why this role exists**
========================


This is the first dedicated data hire in years. The foundations run, the steering is up to you.


While BigQuery already houses most of our data, we still lack key Growth data and a cohesive data governance framework. We need unified definitions, a canonical schema, and a robust semantic layer, enabling Growth, Finance, Ops and Product to self\-serve insights efficiently and reliably.


Today the stack holds because individuals across Ops, Growth, Finance and Engineering compensate locally. They learned the quirks and built workarounds. It works, but it is fragile: KPIs drift between tools, tracking breaks silently, costs escalate, and nobody owns the translation between raw engineering data and decision\-ready truth.


You will be the single accountable owner of that layer. Not a support function, not a ticketing desk, not a BI factory.

**What you will own**
=====================

**Canonical models and metric definitions.** A documented semantic layer with canonical entities (Buyer, Seller, Asset, Agent) and Bronze / Silver / Gold layers. Clear contracts between what Engineering exposes and what each function consumes, so that KPI debates are aligned on the same metric.

**Self\-serve enablement.** The submerged part of the iceberg: clean models, consistent BI primitives, row\- and column\-level security, so Ops, Growth, Finance and Account Managers build their own dashboards without compromising on accuracy.

**Analytics and tracking governance.** The global event taxonomy and tracking roadmap, a hybrid client\-side and server\-side event strategy, consistent sync across CRMs and marketing platforms, and GDPR consent flows by design, so acquisition spend runs on attribution we can trust.

**Platform reliability, safety and cost.** Standards set once rather than team by team: tested and versioned transformations, monitoring of freshness, failures and usage, sane ingestion patterns (read replicas, CDC, batch), and no production code path depending on BI tables.

**Data and AI driving decisions.** Our internal AI tooling already queries the data warehouse for analyses. What’s missing is the core foundation: standardized metric definitions, reusable logic, and pre\-computed data models.

**What success looks like after 12 months**
===========================================

* One documented event taxonomy, actually used by Engineering, Growth and CRM.
* One semantic layer where every shared KPI has a single definition, a single owner and a version history. New joiners understand the data model in days, not months.
* Published freshness and failure SLAs, an explicit ingestion topology, and no production path depending on BI tables.
* Ops, Growth, Finance and AMs build most of their recurring dashboards themselves, and AI agents query the data layer safely through curated MCPs.
* Growth attribution is trustworthy enough that annual acquisition spend decisions are defensible end to end.

**What we are looking for**
===========================

* 7\+ years as a Data, Analytics or Platform Engineer, ideally including a stint at a fast\-moving consumer or marketplace company. Staff or Lead exposure expected.
* Hands\-on with the modern data stack: BigQuery (or Snowflake, Redshift), dbt or equivalent, advanced SQL and data modeling, Python for pipelines, orchestration (Airflow, Dagster, Prefect).
* You have shipped event tracking and instrumentation in production, end to end: taxonomy, client and server\-side events, attribution, GDPR\-compliant opt\-out, propagation downstream.
* Comfortable with ingestion patterns (Fivetran, Airbyte, CDC), reverse\-ETL (Hightouch, Census, Segment), and access governance (IAM, row\- and column\-level security, PII tagging).
* You have built and owned a semantic or metrics layer, and you can arbitrate metric definitions with Finance, Ops and Growth without flinching.
* You treat AI agents as first\-class data consumers: exposing data through MCPs, semantic APIs or text\-to\-SQL, with proper guardrails.
* Strong ownership: you write the standards, defend them, and fix what is broken without waiting for permission.
* A clear communicator who turns "ping the data person" rituals into self\-serve handoffs.
* Fluent in English and French.

**The honest trade\-off**
=========================


There is no data team to manage, and none planned in the short term. You get real autonomy and a direct line to the founders and function leads, in exchange for building alone before maybe building a team. At a comparable proptech you would join an existing team and an existing roadmap. Here, what a metric means at Zefir is not decided yet, and you are the one who decides it.


It suits a doer’s mindset, including someone who has already led and wants to go back to building.

**Hiring process**
==================

* Screening with David, Talent (30 min)
* Deep dive with Gabriel, Engineering Lead: your past experience and what you want next (45 min)
* Technical interview with Diane, your future manager: data platform, modeling and tracking (1h)
* Cultural interview with Louis, co\-founder, plus an informal exchange with a function lead (1h)
* Reference calls, then offer

**Benefits**
------------

### ***The following is for permanent employees only. For other contracts (interns, apprentices, fixed\-term..), please, check with your recruiter.***

* **Competitive salary**: You can run your own simulation with our salary calculator.
* **BSPCE (Stock Options)**: Available for everyone, with monthly vesting after year one, over a 4\-year period.
* **Healthcare plan**: Full coverage with Alan for team members, their partners, and children.
* **Office in Le Peletier, Paris (9th arrondissement)**: With flexible remote work options.
* **Swile meal card**: €11 per worked day.
* **Swile mobility card**: €45/month to support sustainable transportation (metro, carpooling, biking…).
* **Team events**: Monthly Mixers to connect and share good times, and quarterly All Hands to celebrate wins across the company.

**Our Operating Principles**
----------------------------


️ **Steep Mountains Are Steep:** Setting ambitious goals and working hard to achieve them.


**Ride Reality:** Actively seeking challenges and thriving by adapting flexibly to changes.


**Play for the Front of the Jersey:** Prioritizing team success over individual recognition.

**Application \& Process**
--------------------------


We welcome applications from anyone, regardless of background, gender, sexual orientation, religion, age, or experience. Our team values authenticity and diverse perspectives.


For all roles, our interview process emphasizes hands\-on exercises, case studies, or discussions about specific examples of your previous work. We ensure objectives and expectations are clearly communicated at every step.


Compensation: €85\.3K – €93\.8K • Offers Equity

* • €85\.3K – €93\.8K • Offers Equity


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Founding Analytics Engineer

**Required skills**

* Tech

**Who We Are**
--------------


Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.


Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community\-based researchers to increase patient access to the latest medical innovations. Our AI\-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026\.


We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research.


Inato is the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025\.

**The Role**


We're hiring a **Senior Analytics Engineer, Product** to own how data moves from Inato's platform into the hands of the people who depend on it — our product squads, CS and Marketing teams, sponsors, and sites. You'll enable trusted self\-service at scale, prove the value of our new product offerings faster, and ship data products directly into the user experience.


You'll report to **Alexandre Halley (Data Director)** and partner daily with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops.


Our stack includes Segment, Airbyte, Dagster, BigQuery, dbt, Hex, FullStory, and more.

**What you'll own**

* **Trusted self\-service at scale.** Own metric definitions, build the semantic layer powering our AI\-driven self\-service in Hex, and govern what gets exposed so non\-data teams can answer their own questions confidently.
* **Faster value validation for new offerings.** Partner with squads to translate vague operational pains (a CS workflow, a sponsor enablement gap, a prototype idea) into working data assets in days — from real\-data prototype to production\-grade pipeline.
* **Data products in front of users.** Own the tables consumed by the product itself, and the user\-facing dashboards (embeds, custom interfaces) that sponsors, sites, and internal teams rely on day to day.
* **Using AI to scale yourself and the team.** Automate the parts of data work that don't need a human in the loop so the team can keep pace as new offerings multiply and Inato grows. The data team is pioneering AI\-enablement internally, and this role is at the front of that.

**What success looks like**

* **By 3 months:** You own at least one new\-offering data pipeline end\-to\-end. Corresponding data points are available for self\-service, and new metric definitions are live. You've automated at least one internal process using AI.
* **By 6 months:** At least three user\-facing dashboards or data streams are live.

**Requirements**

**Must\-have**

* 4\+ years as an Analytics Engineer, or in a hybrid data engineer/analyst role with strong analytics engineering ownership.
* Strong dbt \+ warehouse modeling skills (we use BigQuery).
* Track record of owning data products end\-to\-end: definition ship measurable adoption.
* A genuine product mindset — you start from the user's problem, not from the SQL.
* Excellent written and verbal communication with non\-data stakeholders.
* Comfort navigating ambiguity — you can turn a vague operational pain into a working data asset without a fully\-specified ticket.

**Nice\-to\-have**

* Fluency with AI\-assisted tooling (Claude Code, Claude Cowork, Hex AI) and a habit of using it to ship faster.
* Experience building production\-grade company dashboards.
* Domain exposure to healthcare, clinical trials, or other regulated industries.

**Working style**


You're impact\-driven and pragmatic — you instinctively reach for the shortest path to the user's need. You're systematic: you'd rather improve the system than re\-fix the same symptom. You're satisfied shipping the 80% solution at 20% of the effort, then iterating on it. You're equally comfortable in a stakeholder conversation, a dbt PR, and a quick prototype.


You'll thrive here if your career arc looks something like: started as an analyst or PM, moved up the stack toward analytics engineering or data product, have lived in start\-ups or scale\-ups where you owned a meaningful slice of the data value chain end\-to\-end, and have shipped complex projects with measurable end\-user value.

**Location and Compensation**

* France\-based, remote\-first. Office available in Grands Boulevards, Paris if you want to use it.
* Base salary range: **65,000€ – 80,000€**, plus equity. No individual variable bonus.

**Why this role, why now**


Inato is in a phase of rapid growth driven by new product offerings, and the data team is one of the functions directly responsible for proving and scaling that value. You'll have a direct line to the VP Product, real ownership from day one, and a small senior team around you. Inato is leaning hard into AI\-enablement, and the data team is pioneering it internally — there's a clear path to Lead or Staff Analytics engineer, or Data Product Manager within 2–3 years as our data\-as\-a\-product surface grows.

**Perks**

* Remote\-first philosophy \& flexible hours
* Amazing office in Grands Boulevards, Paris where you can meet with colleagues if this is important for you
* Top\-of\-the\-line equipments
* Compensatory time (RTT)
* Health insurance (Benefiz, 100% paid by Inato)
* Meal vouchers (Swile)
* Contribution to healthy activities (Wellpass, ex\-Gymlib)
* Free books \& learning material


Compensation: €65K – €80K • Offers Equity

* • €65K – €80K • Offers Equity


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Senior Analytics Engineer, Product

**Required skills**

* Engineering


\<div class\="content\-intro"\>\<p\>The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting\-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.\</p\> \<p\>The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.\&nbsp;\</p\> \<p\>One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.\&nbsp;\</p\> \<p\>That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.\</p\> \<p\>Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.\</p\> \<p\>Join us to help us build a more resilient world together.\&nbsp;\</p\>\</div\>\<h2\>Role \&amp; Team\</h2\> \<p\>As a \<strong\>Staff Data Engineer\</strong\> at Overstory, you will lead the design and scaling of the data platform that enables Overstory’s AI\-powered vegetation analysis. Our analysis depends on moving enormous volumes of satellite imagery, model inferences, and utility network data through orchestrated pipelines reliably, repeatably, and on time to support customer decision\-making. You'll own the architecture of that platform and set the direction for how it evolves.\</p\> \<p\>You'll work closely with data, ML, and product engineers, as well as product teams, to make sure the data flowing into our models and out to our customers balances pragmatic delivery with durability, traceability, and scalability. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and set standards for pipeline design, service boundaries, and data quality across Overstory.\</p\> \<p\>\<strong\>Time zone requirement: \</strong\>Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)\</p\> \<h2\>\<strong\>What You'll Do\</strong\>\</h2\> \<p\>In collaboration with data, ML, and product colleagues, you will:\</p\> \<ul\> \<li\>Architect and evolve our orchestration layer — asset graphs, quality checks, partitioning strategies, and the patterns that keep it scaling reliably.\</li\> \<li\>Design and maintain production data pipelines for large\-scale geospatial and temporal data, from ingestion through transformation to delivery.\</li\> \<li\>Lead system design work across the data platform, including service boundaries, data contracts, and designing around the failure modes that come with each.\</li\> \<li\>Drive the shift toward a service\-oriented architecture, decoupling tightly bound components into services that teams can own and deploy independently.\</li\> \<li\>Build event\-driven workflows, replacing brittle coupling and manual coordination with durable messaging patterns.\</li\> \<li\>Establish observability, testing, and data quality frameworks so problems surface before customers see them, allowing any result to be traced back and explained.\</li\> \<li\>Mentor engineers and define the standards for how we build, test, and operate data systems.\</li\> \</ul\> \<h2\>\<strong\>Skills \&amp; Experience\</strong\>\</h2\> \<ul\> \<li\>Experience thriving at the intersection of data engineering, distributed systems, and large\-scale scientific data; deeply motivated by the opportunity to reduce wildfire risk and improve grid resilience through better data patterns and infrastructure\</li\> \<li\>10\+ years of experience designing and building production\-grade data pipelines and systems\</li\> \<li\>Deep hands\-on experience with \<strong\>Dagster\</strong\> — asset\-based orchestration, partitions, sensors, and the operational side of running it in production (comparable experience with Airflow, Prefect, or similar is a reasonable substitute if you're ready to go deep on Dagster)\</li\> \<li\>Proven track record building and operating \<strong\>data pipelines\</strong\> at scale, with a real feel for idempotency, backfills, and partitioning\</li\> \<li\>Experience in preparing systems to handle periods of high demand with a focus on testability and scalability best practices\</li\> \<li\>Strong \<strong\>system design\</strong\> skills — you can reason about boundaries, contracts, coupling, and failure modes, and explain the tradeoffs to people who'll use and build on them\</li\> \<li\>Practical experience designing \<strong\>service\-oriented architecture\</strong\>, including versioning and keeping things operational through migrations\</li\> \<li\>Strong \<strong\>Python\</strong\> skills and experience with \<strong\>Google Cloud\</strong\>\</li\> \<li\>Experience with \<strong\>Pub/Sub\</strong\> and event\-driven patterns\</li\> \<li\>Strong communication skills and the ability to collaborate across engineering, ML, and product\</li\> \<li\>Comfortable leading architectural discussions and mentoring other engineers\</li\> \<li\>Experience in remote\-first and globally distributed team\</li\> \</ul\> \<h2\>\<strong\>Nice To Have\</strong\>\</h2\> \<ul\> \<li\>Comfort working with geospatial data and the ways that it’s stored\</li\> \<li\>Experience building data pipelines that power ML training and inference\</li\> \<li\>Experience with analytics engineering tooling and warehouse modeling in BigQuery\</li\> \<li\>Infrastructure\-as\-code experience and comfort owning your systems in production\</li\> \<li\>Background in remote sensing, forestry, or the utility sector\</li\> \</ul\> \<p\>\<em\>\<strong\>Note:\</strong\> We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.\</em\>\</p\> \<h2\>\<strong\>What We Offer\</strong\>\</h2\> \<ul\> \<li\>Competitive, location\-specific compensation and benefits\&nbsp;\</li\> \<li\>Flexible, autonomous and collaborative working environment rooted in trust \- we build our work days around our lives, not the other way around\</li\> \<li\>Home office stipend, coworking and ongoing education budgets\&nbsp;\</li\> \<li\>A company culture that genuinely embodies each of our core values\</li\> \<li\>To be part of truly mission\-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis\</li\> \</ul\>\<div class\="content\-conclusion"\>\<h2\>\<strong\>About Our Team\</strong\>\</h2\> \<p data\-pm\-slice\="1 1 \[]"\>We are a fast\-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans.\</p\> \<p\>We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in\-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in\-person collaboration.\&nbsp;\</p\> \<h2\>\<strong\>Diversity \&amp

Staff Data Engineer

**Required skills**

* Information Security


\<div class\="content\-intro"\>\<p\>\<strong\>Why Sony Interactive Entertainment?\</strong\>\</p\> \<p\>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting\-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.\</p\>\</div\>\<p\>\<span style\="color: rgb(31, 56, 100\); font\-size: 12pt;"\>\<strong\>Job description\</strong\>\</span\>\</p\> \<p style\="color: !important;"\>\<span style\="font\-size: 12pt;"\>The successful candidate will join the Security Data Analytics team, working across PlayStation data assets and business groups.\&nbsp;This team develops the data products, pipelines, dashboards, and reporting that help Information Security teams understand security posture, risk trends, control effectiveness, exposure, and remediation progress.\&nbsp; Our work is increasingly built on automation and AI\-enabled analytics, and this role builds the data foundations that make that possible.\</span\>\</p\> \<p style\="color: !important;"\>\<span style\="font\-size: 12pt;"\>This opening focuses on the backend of that work.\&nbsp; Reporting to the Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI\-ready data patterns that turn raw security signals into trusted, analytics\-ready data.\&nbsp;Presentation\-layer engineers own most visualization delivery, so your primary contribution is the reliability, structure, and performance of the data layer, including keeping it running day to day.\</span\>\</p\> \<p style\="color: !important;"\>\<span style\="font\-size: 12pt;"\>This is a technical, individual contributor role.\&nbsp; You will solve moderately complex problems with limited supervision and own a discrete workstream or a sub\-set of a larger effort, working closely with a global set of stakeholders.\&nbsp; This role is UK\-based and remote\-eligible.\</span\>\</p\> \<p style\="color: !important;"\>\<span style\="color: rgb(31, 56, 100\); font\-size: 12pt;"\>\<strong\>Responsibilities\</strong\>\</span\>\</p\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Design, build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics\-ready data.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI\-enabled use cases.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Develop automation that reduces manual data handling and reporting effort and improves reliability across the platform.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Prepare AI\-ready data and support AI\-enabled analytics and reasoning workflows built on our data platform.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Add business and technical context to security data to improve prioritization and decision\-making.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Apply software engineering practices to data and analytics code, including version control, testing, code review, and CI.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Run and support the team's pipelines and data products in production: monitor health, respond to failures, and troubleshoot and resolve ingestion and pipeline issues to keep data flowing reliably.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Partner with global stakeholders across security, IT, studio, platform, and engineering teams to translate requirements into reliable data and reporting.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Document data models, pipelines, and solutions so the team can support them.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Share knowledge with teammates and contribute to team projects as priorities shift.\</span\>\</li\> \</ul\> \<p style\="color: !important;"\>\<span style\="color: rgb(31, 56, 100\); font\-size: 12pt;"\>\<strong\>Qualifications\</strong\>\</span\>\</p\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>4\+ years creating analytics, reporting, data engineering, or data platform solutions.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Hands\-on SQL and strong knowledge of database technologies (relational, columnar, or NoSQL).\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Hands\-on experience with Snowflake, our primary data platform.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience building data pipelines and applying data modeling concepts for analytics or data warehouse use cases.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience with scripting and automation (Python, Java, R, or similar).\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience preparing data for, or supporting, AI\-enabled analytics or machine learning workflows.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience with REST APIs, common data formats (JSON, XML), and platform SDKs or APIs.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Software engineering practices for analytics code: version control, testing, and CI.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience with large, complex data sets; security, technology, risk, or compliance data a plus.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience partnering with cross\-functional teams, with clear written and verbal communication about data and technical tradeoffs.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Some travel may be required.\</span\>\</li\> \</ul\> \<p style\="color: !important;"\>\<span style\="color: rgb(31, 56, 100\); font\-size: 12pt;"\>\<strong\>Desired qualifications\</strong\>\</span\>\</p\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Advanced Snowflake features, such as tasks, streams, dynamic tables, and performance tuning.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-size: 12pt;"\>Experience with dbt or a similar transformation and modeling framework.\</span\>\</li\> \</ul\> \<ul\> \<li style\="font\-size: 12pt;"\>\<span style\="font\-s

Security Analytics Engineer

General helper to assist Co-workers with duties in the warehouse industry. Manufacturing of different products on a daily basis. A Warehouse Worker is responsible for varied daily tasks such as restocking shelves, accepting incoming orders, processing and packing orders, counting inventory and ensuring orders are shipped on time . Responsibilities · Load the hopper with vinyl pellets. · Ensure the extrusion line is running properly. · Visual inspection of the products. · Continuous Lifting and …

Warehouse associate male or Female no experience needed.

I am going to pick up waste and make to clean district of western cape. Collect waste together, return plastics into recyclers.

Pay: R3 750,00 \- R20 798,95 per week

Work Location: In person

General labour

Are you an organised, hands-on warehouse professional with strong inventory control skills and the ability to lead a team? We’re looking for a Warehouse Controller who can take ownership of daily warehouse operations, ensure accurate stock control and keep materials flowing efficiently to production. What you’ll need: Grade 12 / Matric with Mathematics Minimum 2 years’ warehousing experience Experience leading a warehouse team would be advantageous Knowledge of WMS / Syspro Strong Microsoft Off…

Warehouse Controller

Direct a team of pickers, packers and machine operators in a high-speed environment ensuring KPIs are met. Ensure clear communication with your team as well as interacting with the client. Good Excel skills for capturing timesheets and reporting purposes. Candidates must be immediately available to commence employment.

Team Leader - Warehouse Operations

Bachelor Degree Data Warehouse Engineer for Big Data Gauteng| Permanent position |To work remotely Must have a Matric Must have a Bachelor's Degree in Computer Science, OR Information Technology, Data Science, Information Systems, or a closely relevant discipline Must have 3-5 years of Data Warehouse Design working experience with experience or knowledge of most of the following software, languages and tools: SQL Server DBMS, TSQL (ANSI), PostgreSQL, Python (or similar products) Must have an in…

Bachelor Degree Data Warehouse Engineer for Big Data

Job Description Our client is seeking an experienced Warehouse Pharmacist to join their team in Clayville . This role is ideal for a quality-focused professional who understands pharmaceutical warehouse operations, regulatory compliance and Good Warehousing and Distribution Practices. The successful candidate will play a key role in maintaining warehouse quality systems, supporting regulatory compliance and ensuring that operational processes consistently meet required pharmaceutical standards.…

Warehouse Pharmacist

If you believe that a well-run warehouse is a thing of quiet precision, that FEFO is a way of life rather than a suggestion, and that a stock count should balance to the batch, you may have just found your next move. The Role (or the engine room of Montego’s distribution) Reporting to the Warehouse & Logistics Manager, you’ll help keep the warehouse humming — supervising day-to-day operations, safeguarding our stock, and making sure every load leaves accurate, on time, and up to standard. You’l…

Warehouse Supervisor

Freedom Stationery is looking for an experienced and results-driven Warehouse Supervisor to join our team at our Midrand Distribution Centre. The successful candidate will be responsible for overseeing and controlling daily warehouse operations, ensuring efficient inbound and outbound logistics, accurate inventory management, effective team supervision, and consistent service delivery in line with ISO 9001:2015 Quality Management System requirements. Key Responsibilities Plan, coordinate and mo…

**Required skills**

* All Departments

***Company Description***

*We’re**Checkout.com**. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.*

  

*We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.*  

  

*Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.*  

  

*If you want to do career\-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.*  

  

*With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.*


As a Senior Data Analyst, you will play a leading role in the People Analytics team at Checkout.com. Our mission is to enable data\-driven people decisions across the organisation, from the executive team to individual managers.


You will own analytics solutions end\-to\-end, backed by solid analytics engineering skills: the stakeholder instincts to deliver products that people actually use, the analytical judgement to turn data into insight, and the curiosity to push the boundary of what People Analytics can do with AI.


This is an embedded role. You will sit inside the People team and work directly with People leaders, the executive team, and partner departments such as Finance and Business Partnering. You will own the whole solution, from data modelling and pipeline work through to visualisation, analysis, insight and ongoing stakeholder support, rather than handing work to another team to finish.


This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships, shape what we build next, and contribute to one of the most ambitious People Analytics strategies in the business.

**Job responsibilities**
------------------------

**End\-to\-end product development.** Own the full product development lifecycle for assigned stakeholder groups, from requirements gathering and design to pipeline development, Looker delivery, and enablement. You will be the primary People Analytics partner for Business Partnering and Finance, responsible for both supporting existing products and delivering new ones.

**Advanced analytics.** Conduct analyses that go beyond what happened to explain why and anticipate what comes next. Partner with the People Analytics Manager and senior stakeholders on the most complex and strategically important questions.

**AI.** Design, build, and deploy AI\-powered data products. Working from our People Analytics AI roadmap, you will identify high\-value use cases and deliver production\-grade solutions, from intelligent data applications to agentic workflows, using our cloud\-native stack.

**Enablement.** Drive data fluency across your stakeholder groups through demos, documentation, training, and self\-service tooling. Make data accessible, not just available.

**Data quality.** Keep the data behind your products reliable and well documented, contributing to the continuous improvement of our pipeline, semantic layer, and the data products we share with other teams.

**Growth opportunities**
------------------------


We want this role to grow. As you establish yourself:

* Broader product ownership: expand into additional stakeholder groups and more complex, cross\-functional products
* AI at scale: build increasingly sophisticated AI products, from intelligent data applications to agentic tools used across the business
* Strategic influence: move further into consultative and diagnostic work, shaping how senior leaders interpret and act on people data

**Key requirements**
--------------------

### **Essential**

* Experience owning data products end\-to\-end for business stakeholders, from requirements gathering through design, delivery and adoption
* Track record of turning an ambiguous business question into a scoped deliverable, working directly with the stakeholder to get there
* Significant experience as a data analyst, ideally in a team with established data engineering practices
* Strong SQL, with hands\-on experience in BigQuery or a comparable cloud data warehouse
* Experience building and maintaining production data transformation code, meaning layered, version\-controlled and tested models rather than one\-off queries, with dbt or a comparable tool
* Experience building dashboards and reporting in a data visualisation platform such as Looker, Tableau or Power BI
* Excellent communication skills, able to translate complex data into clear, actionable insights for non\-technical audiences
* Collaborative, enablement\-focused mindset: you build for self\-service, not dependency

### **Desirable**

* Experience applying statistical or predictive techniques to a business problem
* Exposure to AI product development, LLM tooling, or data applications
* Experience with data quality frameworks, semantic layers, or data observability tooling
* Prior experience working with HR, people, or workforce data

**Additional Information**

**Bring all of you to work**


We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.


Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.


We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.


It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

**Life at** **Checkout.com**


We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.


Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.


For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram


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Senior Data Analyst, People Analytics

**Required skills**

* Data

**Senior Data Scientist**
=========================

### **Location \- London**

**Who We Are:**  

At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life\-changing prizes — all while raising money for the causes they love.


Thanks to our Omaze Community, we've raised over £150 million for UK charities. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life\-saving work.


And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale.


**About The Job**


As our Senior Data Scientist, you’ll be a hands\-on member of our Data \& Analytics team, working across Omaze’s core commercial and product domains. You’ll design, build and deploy predictive models and statistical frameworks that directly inform how we acquire, convert and retain customers, and how we understand their long\-term value.


You’ll own end\-to\-end model development across areas including subscriber churn, site and funnel conversion, customer lifetime value and propensity modelling for segmentation and targeting.


You’ll also play a central role in strengthening our experimentation programme, helping us design robust A/B and multivariate tests and ensuring we apply the right statistical methodologies to interpret and act on results with confidence.


Working closely with Product, Marketing, Commercial and Engineering, you’ll turn complex data into clear decisions and useful solutions — ultimately helping Omaze become number one for charitable impact globally.


**What You’ll Be Doing**

* Build, validate and iterate on predictive models for churn, conversion, customer lifetime value and customer segmentation using tabular machine\-learning techniques, including gradient\-boosted trees, logistic regression and survival models.
* Own statistical methodology for our experimentation programme, including power analysis, test design, sequential testing, multiple\-comparison corrections and pre\-registered decision frameworks.
* Develop propensity and uplift models to support targeting, personalisation and marketing effectiveness measurement.
* Write production\-quality code in Python and/or R, partnering with Data Engineering to deploy models into our data warehouse and downstream systems.
* Work with Product and Marketing teams to translate commercial questions into well\-scoped analytical and modelling problems.
* Communicate model outputs, experiment results and recommendations clearly to technical and non\-technical audiences, helping stakeholders understand both statistical and practical significance.
* Contribute to how the Data \& Analytics team works, including code review standards, documentation and reproducibility.
* Build models that are not only technically robust, but operationally useful — with a focus on delivering measurable impact for our customers, our business and our charity partners.


**About You**

* You have proven experience in applied data science, machine learning or quantitative analytics.
* You have strong hands\-on experience building supervised learning models using real\-world tabular data, including classification, regression and/or survival analysis.
* You have experience with gradient\-boosted tree frameworks such as XGBoost, LightGBM or CatBoost.
* You have a strong grounding in experimental design and statistical inference, including hypothesis testing, confidence intervals, power analysis and multiple\-testing corrections.
* You have experience designing and analysing A/B tests; experience with sequential testing or Bayesian approaches would be a bonus.
* You’re proficient in Python and/or R and comfortable working across feature engineering, model training, evaluation and deployment.
* You have strong SQL skills and experience working with large\-scale data warehouses and cloud data platforms such as Snowflake, BigQuery or Redshift.
* You understand model validation approaches such as cross\-validation and time\-based splits, and know how to manage challenges including missing data, class imbalance, data leakage and changing distributions.
* You understand causal inference concepts such as difference\-in\-differences, propensity score matching and uplift modelling, and can identify when causal or predictive approaches are most appropriate.
* You’re comfortable with customer analytics concepts such as churn, lifetime value, cohort analysis and retention.
* You can distinguish between statistical and practical significance and explain complex findings clearly to non\-technical stakeholders.
* You’re collaborative and pragmatic, with a focus on shipping useful, high\-quality solutions rather than pursuing theoretical perfection.
* Experience in a subscription, e\-commerce or marketplace business, or with ML pipeline and model deployment tooling, would be a plus.
* A degree in Statistics, Mathematics, Computer Science, Economics, Physics or another quantitative discipline is useful; a Master’s or PhD is desirable but not required.

**What’s In It For You**

* Generous stock options scheme
* 25 days annual leave PLUS Bank Holidays
* Private medical and dental insurance
* 9% employer pension contributions, when you contribute at least 2%
* A generous personal learning and development budget each year to use on training courses, conferences and professional memberships
* Enhanced family leave policies
* Life assurance of 4x your salary


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Senior Data Scientist

**Required skills**

* Data \& BI


As a Working Student Analytics Engineer, you will get hands\-on with the systems and data that power decisions across the entire business. You will write real SQL, ship production dbt models, help maintain a modern data warehouse, and see your work land in the reports leadership actually runs on. This is a part\-time (Werkstudent) role where you take ownership of your own small projects end to end, from raw data to actionable insight, with room to grow your responsibilities as your skills develop.


PERGOLUX designs and sells Scandinavian\-inspired outdoor living products, from pergolas to garden furniture, directly to consumers. With around 300 employees, 9\-figure revenue, and operations across 8 markets, we build our data systems with the same care and precision as our products, guided by integrity, innovation, ambition, and unity.

 **What You'll Do**

* Help build and maintain our Snowflake data warehouse with dbt, and contribute to the migration of our ERP pipelines
* Support the team in defining and developing core metrics that steer business performance
* Build and iterate reports in Looker, turning raw data into insights the business acts on
* Monitor data health, proactively flagging gaps, freshness issues, and quality problems
* Take on your own small projects across the stack (Airbyte for ingestion, Snowflake as the warehouse, Python for the messy bits, dbt for transformation and orchestration) and ship them

 **What You'll Bring**

* Currently enrolled in a Bachelor's or Master's program (Data Science, Statistics, CS, Business Analytics, or related), or a solid self\-taught track record
* Solid SQL fundamentals, comfortable writing complex queries and full\-fledged models well beyond a basic SELECT
* Business intuition: before running a query, you weigh whether asking "why does this number look like that?" will drive real decisions
* Technical curiosity about end\-to\-end data architecture and a critical mindset for getting the most out of AI tools while knowing where they fall short, plus professional working proficiency in English
* Nice to have: exposure to dbt, Airbyte, Snowflake, Looker, or Python; familiarity with e\-commerce data (Shopify, Klaviyo, GA4\); a GitHub, portfolio, or side project you are proud to talk about

 **Compensation** — Competitive salary · Company pension plan · Capped overtime, fully paid, no endless unpaid crunch

**Growth and Career Development** — You will work alongside a lean, senior data team who explain the "why" instead of just handing you tickets, take real ownership of shippable projects from the start, gain full\-stack exposure to a modern data platform and a live ERP migration, and build fast\-track career momentum and a resume\-worthy portfolio as PERGOLUX scales.

* **Time Off and Flexibility** — Up to 30 vacation days, starting at 27 · One week per year remote workation in EU/UK

**Benefits and Lifestyle**

* International, collaborative team, working with colleagues across Europe
* Regular team events (summer party, Christmas party, after\-work gatherings) and retreats
* Modern setup and laptops (Apple or Windows)
* Employee discounts on PERGOLUX products
* Jobrad / Bike leasing program, promoting sustainable and healthy commuting

 **How to Apply**


Ready to ship real data work while you study? Apply through our Career Page and connect with us on LinkedIn. We would love to see what you bring to the table.


PERGOLUX is an equal opportunity employer. We welcome applicants from all backgrounds, we think it's less about ticking every box and more about what you bring to the table!


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Working Student Analytics Engineer (m/w/d)

Dropshipping is an online retail business model where you sell products through your store without keeping any physical inventory on hand.

Pay: R3 500,00 \- R25 901,85 per month

Application Question(s):

* Are you will to sell a minimum of 3 products a day worth R1000 or more?
* Are you able to use your social media platforms to sell anything to people?

Work Location: Remote

Drop shipping

**ABOUT US****METYCLE: where innovation meets sustainability**  

We are reshaping the global secondary metals industry to accelerate the circular flow of metals. By combining global trading, advanced processing and digital intelligence, we make secondary metals more predictable, transparent and scalable, strengthening industrial supply chains and reducing reliance on primary metal production.  

And the impact is significant: recycling aluminium can reduce greenhouse gas emissions by up to 95% compared with primary aluminium production.  

And we take it further! Our SmartSorting Hubs combine advanced sorting technology, automation and AI to transform how complex scrap is processed, turning selected mixed streams into better\-defined industrial feedstock while improving material quality and traceability.Join us at a defining stage as we bring the $600 billion scrap metals industry into the 21st century and build a new global standard for secondary metals.

 **READY TO MAKE AN IMPACT?**We are looking for an experienced Data Analyst who turns complex operational and business data into clear insights, better decisions, and measurable improvements. You bring strong hands\-on experience in data analysis, SQL, visualisation, and working with large and imperfect datasets \- and understand how to connect data to real\-world processes and business outcomes.  

This is an integrated role at the intersection of business, operations, and technology. You’ll work directly with teams to understand their data needs, dig into the details hands\-on, and find the right way to answer their questions \- whether through SQL, Excel, dashboards, or other tools. You’ll also translate recurring needs into requirements for Engineering and help build stable, automated reporting and analytics over time, particularly across our trading business.  

Join our international team and play a key role in shaping innovative solutions for scrap metal processing \- using data and technology to build a more efficient and sustainable future.

 **YOUR MISSION*** **Analytics \& Insights:** Turn complex business questions into clear, actionable analysis, identifying trends, opportunities, risks, and the key drivers behind business performance. Work directly with the people who have the data need to understand their questions, challenge assumptions, and turn raw data into meaningful insights and decisions.
* **Data Foundations:** Build and maintain the data transformations needed to turn raw data into clean, reliable, analysis\-ready datasets in the Data Warehouse. Work hands\-on with imperfect data, validate its accuracy and meaning, and identify gaps or inconsistencies in how data is captured.
* **Data Modelling:** Translate business requirements into well\-structured, reusable data models and clearly defined metrics that provide a trusted source of truth for analytics across the organisation.
* **Data Quality:** Implement and maintain data quality checks and tests to ensure data is accurate, consistent, complete, and fresh \- proactively identifying and resolving issues with relevant stakeholders and working with Engineering to improve how underlying data is captured.
* **Reporting \& Self\-Service:** Build and support dashboards, reports, and analytical datasets that are intuitive, performant, and optimised for internal reporting and self\-service analytics. Help turn recurring analytical needs and ad\-hoc analysis into stable, scalable, and increasingly automated reporting.
* **Stakeholder Partnership:** Work closely with Product, Operations, Finance, Marketing, Engineering, and other teams to understand business needs, challenge assumptions, and translate them into meaningful analytical questions and solutions. Communicate effectively across different levels and functions, from discussing detailed data questions with technical teams to presenting clear insights and recommendations to senior stakeholders.
* **Documentation \& Standards:** Maintain clear documentation for datasets, transformations, metrics, and data lineage using dbt Docs or similar tools, and contribute to practical standards for SQL, data modelling, testing, and visualisation.
* **Automation \& AI:** Identify manual or inefficient analytical workflows and improve them through automation, modern data tooling, and AI\-assisted analysis \- using AI to accelerate data exploration, querying, documentation, and reporting while maintaining a strong understanding of and control over the underlying data.

 **YOUR PROFILE*** 3\+ years of hands\-on experience in Data Analytics, Product Analytics, Business Analytics, or a closely related analytical role, with a track record of turning complex business questions and raw data into reliable analysis, actionable insights, and business decisions
* Strong analytical and statistical thinking, with the ability to identify trends, anomalies, and root causes, define meaningful metrics, challenge assumptions, and work confidently with imperfect or incomplete data
* Independent, structured, and pragmatic, with a strong sense of ownership. You are equally comfortable working with business stakeholders and engineers, communicate clearly across different levels and functions, and can bridge the gap between business needs and technical solutions. You are also genuinely curious about AI\-assisted analytics and modern cloud data workflows, while maintaining full control of and understanding of the underlying data
* Strong business understanding and analytical curiosity, with the ability to quickly grasp the essentials of a complex, finance\-driven business, understand how the underlying processes work, and translate business needs into meaningful analytical questions. Experience with financials, commodity trading, finance analytics, or accounting is a strong advantage
* Strong SQL skills with experience working with complex datasets, data transformations, joins, aggregations, window functions, and analytical data models
* Proven experience working with modern Data Warehouses such as Snowflake, BigQuery, Redshift, Databricks, or similar, including building and maintaining clean, reliable datasets for analysis and reporting
* Experience with modern analytics engineering practices and tools such as dbt, including data modelling, automated data quality tests, documentation, and data lineage
* Strong experience with BI and visualisation tools (e.g. Metabase, Looker, Tableau, Power BI or similar), with a focus on building clear, performant dashboards and enabling self\-service analytics

 **WHY JOIN US?*** You will have the opportunity to challenge the status quo and work on an innovative venture with significant impact
* You will be able to take ownership and shape the future of metal recycling and green energy solutions at an early stage
* We offer a competitive salary including virtual company shares
* We offer an environment with flat hierarchies and a steep learning curve with exciting growth opportunities
* You will benefit from flexible working hours and the opportunity to work remotely or from a shared office location
* We promote an inclusive, diverse and supportive work environment

 **CONTACT**
Discover more about METYCLE:  

  

About us \| LinkedIn  

  

We look forward to receiving your application. Irene Prinz is happy to answer any questions you may have: \+49 152 34 62 72 85\.


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Data Analyst (m/f/d)

DRIVER \& STORE ASSISTANT

**Atlas Trading Company – Cape Town**

Atlas Trading Company is looking for a **reliable, hardworking and responsible individual** to join our team as a **Driver \& Store Assistant**.

This is a **hybrid position**. The successful candidate will carry out deliveries when required and assist with general duties in\-store when not on the road.

KEY RESPONSIBILITIES

* Deliver customer orders safely and on time
* Load and unload goods for deliveries
* Check orders before leaving for delivery
* Obtain proof of delivery and handle delivery documentation
* Ensure the company vehicle is kept clean and in good condition
* Assist with packing and moving stock
* Assist with general store and warehouse duties
* Assist customers and other staff members when required
* Follow company procedures and health \& safety requirements

REQUIREMENTS

* Valid **Code B South African Driver’s Licence**
* Valid **Professional Driving Permit (PrDP)**
* Good and responsible driving record
* Previous driving/delivery experience preferred
* Good knowledge of Cape Town and surrounding areas
* Physically fit and able to lift and move stock
* Reliable, punctual and trustworthy
* Good communication skills
* Able to work well as part of a team
* Willing to perform general store duties when not making deliveries

WORKING HOURS

**Monday – Friday:** 8:15 AM – 5:15 PM  
**Saturday:** 8:30 AM – 1:00 PM

SALARY

**R6,825\.00 per month**

PLEASE NOTE

**This is not a driving\-only position.**

The successful applicant will be required to work **both in\-store and as a delivery driver**, depending on the operational requirements of the business.

HOW TO APPLY

Please submit your **CV together with a copy of your valid Code B Driver’s Licence and PrDP**.

Pay: R6 825,00 per month

Experience:

* Delivery driver: 2 years (Required)

License/Certification:

* Drivers License \& Pdp (Required)

Work Location: Hybrid remote in City of Cape Town, Western Cape

Delivery Driver

**Required skills**

* Healthcare


At **Statista**, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy\-to\-use data as well as various data analytics products and services, we empower people worldwide to make fact\-based decisions.


Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.


We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.


Are you ready to join us?

**About the Role**


You will own and build the customer\-facing layer of our platform: a portfolio of data intelligence products for hospitals, as well as the shared application framework beneath them.


As the senior technical lead for this area, you will operate with high agency—designing how data is queried, cached, and visualized, building API layers over platform services, and working directly with domain experts to translate complex methodology into intuitive, high\-impact products.

**Key Responsibilities**

* **End\-to\-End Product Ownership:** Architect, build, and maintain data intelligence applications from database query contracts down to interactive UI components.
* **Framework \& API Layer:** Build and own the shared application API layer, composing underlying platform services and published data models into stable contracts.
* **Data\-Access \& Performance Strategy:** Design robust caching, materialization, pagination, and streaming patterns to serve complex analytics from cloud data warehouses with low latency and optimized compute cost.
* **Advanced Data Visualization:** Build interactive, non\-standard visualization interfaces (e.g., hospital performance benchmarking and peer comparison views) and establish reusable patterns for the broader portfolio.
* **AI\-Mediated Interfaces:** Implement natural language and LLM\-driven application surfaces—including retrieval workflows, tool integration, structured outputs, streaming, and evaluation of latency and cost.
* **Technical Leadership:** Shape application architecture, set engineering standards, drive testing discipline, and mentor joining engineers.

**Qualifications**

**Core Requirements (Must\-Haves)**

* Full\-Stack TypeScript: Deep production experience across both client (React / Next.js) and server (Node.js using Fastify, Express, or NestJS).
* Advanced Data Visualization: Hands\-on experience building custom, interactive visualizations (working with scales, layouts, coordinate systems directly using D3\.js alongside Visx, ECharts, or Vega\-Lite) and choosing appropriate render targets (SVG, Canvas, WebGL).
* Analytical SQL \& Warehouse Caching: Strong analytical SQL skills (window functions, CTEs, multi\-level aggregations) and practical experience designing materialization/caching strategies over columnar cloud warehouses.
* Client\-Side State \& Data Management: Expertise with client\-side caching, request coalescing, streaming, and table virtualization (e.g., TanStack Query, SWR).
* Architecture \& Abstraction: Proven track record of building reusable abstractions—such as shared API layers, component libraries, or design systems—consumed by other engineers.

**Nice\-to\-Haves (What Will Make You Stand Out)**

* LLM \& AI Application Engineering: Practical experience integrating LLMs into production workflows (retrieval/RAG, tool calls, streaming, and evaluation metrics).
* Multi\-Tenant Security: Experience implementing robust, enterprise\-grade authorization models where strict data segregation and confidentiality are paramount.
* Production Observability \& AWS: Familiarity with running microservices on AWS, with an emphasis on telemetry, logging, CI/CD, and performance monitoring.

**Your Profile**

* Degree: Bachelor's or Master's in Computer Science, Software Engineering, Human\-Computer Interaction (HCI), or a related technical field.
* Experience: 5\+ years in full\-stack software engineering building data\-dense web applications, custom interactive visualizations, and customer\-facing products; including a sustained period within one organization seeing a product through build launch iteration.
* Domain Knowledge: Healthcare or benchmarking domain experience is a plus (basic understanding of healthcare KPIs, quality metrics, or benchmarking concepts; familiarity with hospital decision\-making, performance reporting, or medical data workflows is especially valuable).
* Mindset: Strong product\-focused and UX\-driven mindset, with a proven ability to translate complex analytical data models and methodology into intuitive, high\-performance visual interfaces.
* Languages: Fluent in English, German is a plus.
* Working Style: Highly structured, user\-empathetic, and motivated to collaborate closely with methodology experts, consultants, and cross\-functional engineers in an international environment.

**What we offer**


In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

* Work from abroad up to 30 calendar days a year
* Hybrid work and flex\-time
* International team and social events
* Subsidized urban mobility and access to fitness and wellness options
* Free access to Langdock and all its amazing functionalities
* Career \& training opportunities
* Attractive locations and modern offices
* Mental health support with OpenUp

*Some of the benefits listed here apply only to the German entity and to Junior\-level roles or above.*


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Senior Full-Stack Engineer - Data Intelligence Applications (m/f/d)

**Required skills**

* Finance and Commercial

**About Unity Advisory**


Unity Advisory is a pure\-play, experience\-led CFO advisory firm providing integrated finance, commercial, tax and deals support. We are free from audit conflicts and AI\-enabled by design, combining deep technical expertise with automation, analytics and AI built into the delivery of every engagement. We are building an alternative to traditional advisory firms, focused on clarity over complexity, outcomes over hours, and practical advice delivered at pace for CFOs making high\-consequence decisions.

**The Role**


We are looking for an experienced Data Architect to own data design across our advisory engagements. This is a platform and design\-authority role with a hands\-on edge, combining finance\-focused business understanding with modern data architecture, platforms and governance. You will define how data \- across a client’s business \- is structured, governed, and served so that AI, analytics, and management reporting are reliable and scalable. As a Senior Manager, you will lead architecture decisions, guide engineers, shape client data strategy, architecture, governance, and be accountable for the coherence and quality of the data estate you design.


This is a client\-facing role within our AI Advisory team, setting the data architecture that our engagements — and our clients' AI ambitions — are built on.

**Key Responsibilities**

* Define target\-state data architectures for clients — models, storage, pipelines, and access patterns — balancing rigour with delivery realism.
* Establish data modelling standards and curated domain layers across the a variety of systems (e.g. ERP, CRM, Manufacturing) and data sources, with end\-to\-end lineage and provenance sufficient for audit and controls.
* Map and integrate finance source systems (ERP, EPM, sub\-ledgers, and consolidation tools) into governed, analytics\-ready models.
* Design the finance data foundations for applied AI/ML: governed retrieval sources for RAG, feature stores, and the architecture that keeps AI systems fed with trustworthy, reconciled finance data.
* Set patterns for secure, compliant finance data platforms — access control, data sensitivity, segregation of duties, isolation, and alignment to standards such as ISO 27001\.
* Provide architectural direction for cloud data platforms, infrastructure as code, CI/CD, and observability, ensuring designs are cost\-aware and operable.
* Define the data lineage and controls that support responsible production AI — monitoring, confidence scoring, and human\-in\-the\-loop review.
* Translate ambiguous business and client problems into clear architectural decisions and scoped roadmaps under delivery pressure.
* Own key technical trade\-offs and communicate them clearly to engineers, product stakeholders, and senior client sponsors.
* Mentor data engineers, raise the technical bar across the team, and contribute reusable patterns, reference architectures, and accelerators.

**What We're Looking For**

**Essential**

* Significant experience designing and delivering data architectures for production systems, with evidence that your designs have shipped and run \- not remained on paper.
* Deep expertise in data modelling, warehouse/lakehouse design, and data governance.
* Hands\-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks).
* System\-level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding where structured outputs and tool use fit.
* Ability to set standards and lead engineers while remaining close to implementation.
* Strong stakeholder skills, including engaging senior client sponsors and explaining architectural trade\-offs clearly.

**Strong Preference**

* Experience architecting the data layer behind AI or analytics products in production.
* Informed views on the trade\-offs between fine\-tuning, RAG, and long\-context approaches, and how each changes data architecture requirements, including context window economics and prompt caching.
* Familiarity with infrastructure as code, CI/CD, and observability for data platforms.
* Awareness of MCP and tool\-orchestration concepts and their implications for composable, data\-driven AI systems.
* Fluent use of AI\-assisted development tools (e.g. Claude Code, Cursor), with a clear view of where they help and where human design judgement must lead.
* Security and compliance experience (e.g. ISO 27001 alignment, access control design).
* Consulting or advisory background, owning problems end\-to\-end rather than a single workstream.

**Nice to Have**

* Evidence of self\-directed building — side projects, internal tools, or startups.
* Exposure to finance data, PE/M\&A, or portfolio\-company environments.
* Relevant certifications (e.g. AWS/Azure architect\-level credentials).

**Additional Information**


At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process.

**PLEASE NOTE:** We do not accept unsolicited CVs from third\-party agencies.

  

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Data Architect

**Required skills**

* Data Modeling
* Experimentation
* Data Warehousing
* AI Coding

  

**Your mission**
We're looking for a Data Engineer to join our Information and AI Platform and own our data pipelines end to end — from data modeling to experimentation to production.

* Own our pipelines end\-to\-end, from stakeholder metric definition through dbt modeling, QA, and A/B testing, to Dagster scheduling and production.
* Move us from people asking for reports to a system that answers — self\-service for coworkers, reliable answers for AI agents, a self\-describing warehouse.
* Keep our steering metrics real and trusted as governed metrics\-as\-code.
* Run the relevance and content pipelines that keep the platform a reflection of real life.
* Work closely with Product, engineering, and other stakeholders to translate their data needs into models that hold up in production.
* Keep our data governance in good shape in terms of quality, security, and compliance.
* Work with the team to improve personalized recommendations and other ML algorithms.


Our stack: dbt, Snowflake, MotherDuck, Dagster, SQL, Python, AWS, GitHub Actions, Docker, VS Code

 **Your profile****Must\-haves**

* Experience in a data engineering role or similar, with a solid understanding of data warehousing and ETL concepts.
* Strong SQL skills and hands\-on experience running dbt models in production.
* Experience with an orchestration tool — we use Dagster.
* You've built and run data or information infrastructure that other teams depend on.
* You're comfortable working directly with backend and infrastructure engineers as well as non\-technical stakeholders, and can translate between the two.
* Experience with a cloud data warehouse, ideally Snowflake, and a cloud provider, ideally AWS.
* You're comfortable with version control, ideally Git.
* You have experience working with AI coding tools like Claude Code, and know how to use them to move faster without cutting corners.
* You're sound on GDPR and Article 9 in practice — you know how to design compliant data access for both people and agents.

**Nice\-to\-haves**

* You've taken a ranking or recommendation pipeline through to production.
* You know your way around ML concepts — you don't need to build models yourself, but understanding the basics helps you work well with our ML engineers.
* You have experience or are interested in working with data agents and making them reliable.
* You're fluent in modern data and AI tooling and agentic systems, and understand why curation and semantic context decide whether agents can be trusted.
* You've led or mentored other engineers, or you're ready to grow into that, with support from our Leadership \& Coaching guild.

**And you're the kind of person who...**

* Communicates clearly, and can explain complex data concepts to technical and non\-technical people alike.
* Keeps up with new tools and trends in the field, and likes sharing what they learn with the team.
* Values diversity, collaboration, and inclusion, and helps build a team where everyone feels welcome.
* Is a systems builder at heart — energized by building what makes everyone else faster and more certain, not by owning a queue.
* Takes ownership of unsolved problems, like safe AI access to information, rather than waiting for someone else to solve them.

 **What we offer*** A hybrid work model that combines at least 2 office days and remote work
* A meaningful job – we're creating a great product with real added value for the community
* Work in a cheerful and experienced team that exchanges ideas and learns from each other
* Insights into the entire work process of our social startup and the nebenan.de foundation
* Responsibility and great opportunities to actively contribute
* Your nebenan.de SpenditCard – you'll receive an additional income of 35 Euros per month, which you can use for things of your choice
* 30 days of vacation per year – we also offer the possibility of workation models and a sabbatical

  

If we’ve captured your interest, apply now and let us know why you’re the perfect fit for the job!


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Customer Service/Warehouse Assistant

**Required skills**

* Strategy

**Who is Sonar?**



Sonar is driving the future of agent\-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI\-assisted developers or autonomous agents is reliable, secure, and maintainable.



Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI\-generated code.



We believe code verification is the critical missing link in the Agent\-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI\-generated code via products like:


* SonarQube: The world’s leading AI code review and verification platform.
* SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
* SonarSweep \& Sonar Context Augmentation: Providing the enterprise\-grade context and constraints agents need to be truly effective.

Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:


* Committed to our customers and community.
* Obsessed with quality.
* Deliberate in our decisions.
* Effective as one team.

With over $400M in revenue and profitable, fast\-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.


**Position description**



This role is the data team's dedicated analytical partner for Marketing. Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next dollar. You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks.



You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need. You will help define those models, but your primary measure of success is the quality and impact of your analysis.



This role sits in the Data \& Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains.  



  

**What you will do**  

* Drive marketing decisions with analysis. Own attribution, ROI, conversion, and funnel analysis. Diagnose drops and anomalies, quantify what drives them, and translate findings into clear recommendations for marketing leaders.
* Optimize marketing spend. Connect spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next.
* Be proactive. Explore and correlate data to surface insights nobody asked for. Anticipate the next question. Bring opportunities to the marketing team rather than waiting for requests.
* Run experiments. Design and read out A/B tests and other experiments, applying sound statistical methods and being honest about significance and causality.
* Partner on the data foundation. Work hand in hand with Data Engineers and Analytics Engineers to get marketing data into the warehouse and modeled. Define requirements, explore raw data, and contribute to data models that connect marketing data with sales and product data.
* Tell the story. Communicate insights so non\-technical stakeholders can act, and document context, caveats, and decisions so the work survives handoffs.
  

  

**Experience and qualifications**  

* Strong analytical track record: someone who has measurably influenced business or marketing decisions through analysis, not just produced reports.
* Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as the tooling evolves and bring new approaches to the team.
* Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats.
* Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you.
* Proficiency in Python for analysis, modeling, and automation.
* Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies.
* Working knowledge of marketing and GTM data: channels, campaigns, attribution models, funnel and conversion metrics, and the realities of joining marketing data to CRM/sales and product usage data.
* Willingness to get hands\-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables.
* Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options.
* Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked.

**In\-office culture**



We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.



Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person.


**We value diversity, equity, and inclusion**



At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.



If you need any accommodation, please reach out to us at .



All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.



Applications that are submitted through agencies or third party recruiters will not be considered.


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