ClosedFull-time

Cloud Data Engineer

nan

Johannesburg, Gauteng

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Data analyst roles across banking, retail and telecoms. Most ask for SQL and Excel as a baseline, with Power BI or Python for the better-paid posts.

Job description

About the Role

The Cloud Data Engineer is responsible for preparing enterprise-grade data products and driving technical thought leadership to support advanced analytics initiatives. This position entails designing, developing, and maintaining scalable data solutions on Microsoft Azure, ensuring the delivery of clean, reliable, and fit-for-purpose data for consumption across the organisation. Key responsibilities include building robust data pipelines, integrating APIs, and leveraging Azure services to enable advanced analytics and business intelligence capabilities.

Key Responsibilities

Design, build, and maintain scalable, efficient data pipelines on Microsoft Azure (Azure Data Factory, Synapse Analytics, Databricks)
Develop and optimise ETL/ELT processes to ingest data from diverse sources, including APIs, databases, and flat files
Ensure data quality, integrity, and governance across pipelines, applying validation and cleansing standards
Collaborate with data analysts, BI developers, and business stakeholders to understand data requirements and translate them into technical solutions
Build and maintain data models (e.g. star/snowflake schemas) to support reporting and analytics
Integrate third-party and internal APIs to automate data flow between systems
Monitor pipeline performance, troubleshoot failures, and implement improvements for reliability and scalability
Apply security and compliance best practices to data solutions, including access controls and data protection standards (e.g. POPIA)
Document technical designs, data flows, and standard operating procedures
Provide technical guidance and contribute to best-practice standards across the data engineering function

Required Qualifications & Experience

National Diploma or Bachelor's degree in Computer Science, Information Systems
3+ years' experience in a data engineering or cloud engineering role
Demonstrated experience building and maintaining data pipelines in a production environment
Experience working within a Microsoft Azure ecosystem (Azure Gold Partner environment advantageous)

Technical Skills

Azure services: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Data Lake Storage
Programming/Query languages: SQL, Python (PySpark advantageous)
Data modelling: Dimensional modelling, data warehousing concepts
API integration: REST APIs, authentication protocols (OAuth2), JSON/XML data handling
DevOps/Version control: Git, CI/CD pipelines (Azure DevOps advantageous)
BI tools: Power BI or similar reporting/visualisation tools (advantageous)

Soft Skills & Attributes

Strong analytical and problem-solving mindset
Ability to communicate technical concepts clearly to non-technical stakeholders
Self-starter with the ability to work independently and manage multiple priorities
Collaborative team player who thrives in a fast-paced, evolving environment
Commitment to continuous learning and staying current with cloud/data technologies

Nice to Have

Microsoft Azure certifications (e.g. DP-203: Data Engineering on Microsoft Azure)
Experience with Microsoft Fabric
Exposure to machine learning/advanced analytics workflows

Work Location: Hybrid remote in Johannesburg, Gauteng

Found on Indeed · Posted 1 months ago · Last checked 4 weeks ago

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Found on Indeed · Posted 1 months ago