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About the role
KEY RESPONSIBILITIES: Design, build, and maintain scalable data pipelines and integration solutions. Connect data from multiple operational and business systems into a centralised enterprise data platform. Design and maintain contemporary data warehouse and data lake solutions. Develop reliable data models to support reporting and analytics. Implement data quality, validation, monitoring, and governance processes. Ensure data Cyber security, compliance, and appropriate access controls. Optimise data platform performance, reliability, and scalability. Implement version control, testing, and deployment best practices. Create clear technical documentation and maintain data standards. Prepare clean, governed, and AI-ready datasets for machine learning and advanced analytics. Collaborate with internal stakeholders to understand business requirements and deliver practical data solutions. WHAT WE ARE LOOKING FOR: Essential: 3+ years' experience in Data Engineering or a similar role. Bachelors degree in computer science or data engineering. Strong experience designing and supporting production data pipelines. Experience working within Microsoft cloud data environments. Advanced SQL skills. Strong Python or equivalent programming skills for data integration and automation. Experience integrating enterprise systems through databases, APIs, or cloud services. Solid understanding of data warehousing, dimensional modelling, and ETL/ELT principles. Experience with source control and deployment practices. Knowledge of data governance, security, and data quality. Ability to work independently and make sound technical and architectural decisions. Robust communication. Compensation: 25,000.00 - 30,000.00 per month Benefits: Cell phone reimbursement Commuter assistance Food provided Provident Fund Work Location: In person .