Responsibilities: Lead the architectural design and implementation of the new Azure-based data warehouse Own the data governance framework, ensuring standards for data quality, security, and access control are embedded in all solutions Work directly with senior stakeholders across business units to translate needs into actionable technical solutions Facilitate workshops, architectural reviews and cross-team solution design sessions Lead the building, testing and deployment of robust ETL pipelines for multi-source integration Implement platform monitoring solutions to track and optimise performance Education & Skills: Bachelor’s Degree in Computer Science, Information Systems, Data Engineering or related 5 years in data engineering, with experience in data warehouse design and development Strong experience with SSIS for ETL processes, Azure Data Platform components (Azure Data Factory, Azure Synapse analytics, Azure SQL Database, and Data Lake storage) and SQL (T-SQL) Experience implementing data governance principles, including data quality frameworks, security/access controls and metadata management Apply now!

Job Summary: Our client is seeking a highly skilled Senior Data Engineer with deep expertise in Snowflake and Matillion to design, build, and optimize scalable data pipelines and integration solutions. The ideal candidate will have a strong background in cloud data warehousing, ETL/ELT processes, and modern data architecture. Responsibilities : Data Management and API integration. Design, develop, and maintain robust ETL/ELT pipelines using Matillion and Snowflake. Optimize Snowflake data warehouse performance and manage data models. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Ensure data quality, governance, and security best practices are implemented. Automate data validation, reconciliation, and monitoring processes. Document data architecture, pipelines, and integration processes. Mentor junior engineers and contribute to best practices and code reviews. Experience: Matric and a tertiary qualification 8 years of experience in data engineering or related roles. Strong hands-on experience with Matillion ETL and Snowflake. Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala). Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with data modeling, data warehousing, and ELT best practices. Experience with CI/CD pipelines, version control (Git), and DevOps practices. Knowledge of data governance, security, and compliance (e.g., GDPR, SoX).

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) 1. 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. 2. 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. 3. 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. 4. 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. 5. Performance Monitoring & Continuous Improvement • Implement platform monitoring solutions to track and optimise performance. • Drive continuous improvement in architecture, tooling, and governance processes.