Data Engineer — AMK

Job Responsibilities: Data Engineering & Platform Development • Design and develop scalable and reliable data pipelines. • Build enterprise data platforms, including data warehouses, data lakes, and lakehouses. • Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards. ETL/ELT & Data Integration • Lead ETL/ELT pipeline development, with Talend as a highly preferred platform. • Integrate structured, semi-structured, and unstructured data sources. • Implement and maintain data quality, validation, and error-handling frameworks. Data Management & Governance • Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance. • Implement and maintain data lifecycle management and cost-optimisation strategies. • Ensure data lineage, traceability, and auditability. Analytics & BI Enablement • Engineer analytics-ready data models for reporting and self-service analytics. • Enable BI dashboards, reports, and analytics through performant and governed data pipelines. Security & Compliance • Ensure compliance with government security and privacy requirements. • Implement and maintain encryption, access controls, secure data handling practices, and system security policies. Job Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • Minimum 3 years of experience in enterprise data engineering roles. • Strong hands-on data engineering experience. • Strong SQL and Python skills. • Experience with ETL/ELT tools, with Talend highly preferred. • Experience with data warehouses, data lakehouses, data lakes, and object storage systems. • Qlik Sense Enterprise integration experience is highly preferred. • Prior CAT 1 / G50 security clearance is required. • Previous experience delivering MINDEF projects is required.