Showing 20 Data Engineer Ii jobs in Johannesburg
Posted 2 weeks ago. Job Title : Data Engineer II Location : Johannesburg Company : FNB South Africa or See this and similar jobs on beBee. Highlights : Online Registration Available, Serving In MultipleLocations.
Johannesburg, Gauteng The Legends Agency
Posted 21 days ago
Job Description
About Our Client
Our client is a specialist data and technology consultancy, delivering innovative solutions that empower financial services businesses to make smarter, faster decisions. With a strong focus on advanced analytics, AI integration, and cloud-first design, the team partners with leading insurers and financial institutions to drive transformation. They offer a collaborative, remote-first culture where your expertise will directly impact business outcomes.
The Role : Data Engineer (Contractor)
This contract role is key to designing, building, and maintaining high-quality, secure, and scalable data solutions for a leading insurance client. You\'ll work across modern data platforms and cloud environments, enabling accurate insights and supporting analytics and machine learning initiatives. The role is initially a 12-month contract, with strong potential to extend based on performance and project needs.
Key Responsibilities
About You
3 to 5 years of hands-on Data Engineering experience.
Proven experience working with Oracle database environments.
Solid SQL and data modeling capabilities.
Experience in insurance or broader financial services is advantageous.
Strong problem-solving mindset, with the ability to work independently in a remote-first setup.
Collaborative team player with excellent communication skills.
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Parktown, Gauteng MJM Recruitment
Posted today
Job Description
full-time
Main Purpose of Job To lead the design, development, and governance of the company’s enterprise data infrastructure, transitioning from the current SSIS-based ETL environment to a modern, scalable, Azure-based cloud data warehouse. This role is strategic and collaborative, requiring close engagement with business leaders, BI developers, analysts, and IT teams to ensure data solutions are business-aligned, governance-compliant, and ready for advanced analytics. As a senior member of the team, the role will mentor junior data engineers, influence architectural decisions, and champion best practices across the organisation.
Key Performance Areas (Core, essential responsibilities –outputs of the position) Data Warehouse Architecture & Leadership Lead the architectural design and implementation of the new Azure-based data warehouse. Oversee the optimisation of the existing SSIS-based ETL environment during the transition phase. Establish long-term data platform strategy in collaboration with BI and IT leadership.
Data Governance & Compliance Own the data governance framework, ensuring standards for data quality, security, lineage, and access control are embedded in all solutions. Partner with compliance and legal teams to meet regulatory requirements for data storage and processing. Champion the use of data cataloguing and metadata management tools.
Collaboration & Stakeholder Engagement Work directly with senior stakeholders across business units to translate needs into actionable technical solutions. Serve as the primary point of contact between the BI team, engineering, and external vendors for data infrastructure matters. Facilitate workshops, architectural reviews, and cross-team solution design sessions.
Technical Delivery & Mentorship Lead the build, testing, and deployment of robust ETL / ELT pipelines for multi-source integration. Ensure smooth migration of historical and real-time data to the new warehouse with minimal downtime. Mentor and support junior and mid-level engineers in technical best practices and solution delivery.
Performance Monitoring & Continuous Improvement Implement platform monitoring solutions to track and optimise performance. Drive continuous improvement in architecture, tooling, and governance processes.
Minimum Requirements EDUCATION Mandatory : Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. Preferred : Master’s degree in Data Engineering, Computer Science, or related discipline. Business Management or Project Management certification to support stakeholder engagement and project oversight. Azure Data Engineer Associate or equivalent cloud certification. Data governance certification (DAMA, DCAM, or equivalent). 5+ years in data engineering, with experience in data warehouse design and development. Strong hands-on experience with SSIS for ETL processes. Proven expertise in Azure Data Platform components (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Data Lake Storage). Strong SQL skills (T-SQL preferred). Experience implementing data governance principles, including data quality frameworks, security / access controls, and metadata management. Experience with data modeling (Kimball / Star Schema / Snowflake). Proficient in performance tuning and troubleshooting data processes.
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Johannesburg, Gauteng The Legends Agency
Posted 17 days ago
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Data Engineer • WorkFromHome, KwaZulu-Natal, South Africa