Data Engineer

Description Data Engineer Are you ready for your next career challenge?.. Role overview: Design, build and operate trusted data pipelines and data services for ESCS reporting, integration, migration and analytics. The Data Engineer ensures that data is reliable, governed, secure and available to authorised users and services when needed. The role you will play: Create scalable data pipelines and models across ESCS source and target platforms. Build data quality, lineage, security and operational monitoring into delivery. Support migration, reporting and decision-making with reliable data engineering. Primary responsibilities: Design and implement ingestion, transformation, validation and publishing pipelines. Develop data models and contribute to warehouse, lakehouse or platform design. Implement data quality controls, reconciliation, lineage and metadata. Support master and reference data management approaches. Engineer secure access, retention and protection controls with relevant specialists. Plan and execute data migration, cleansing and cutover activities. Monitor pipeline reliability, performance and cost and resolve operational issues. Document data flows, mappings, rules, interfaces and support procedures. Required skills and capabilities: SQL and data transformation Python or equivalent data engineering language ETL/ELT pipeline design and orchestration Data modelling and warehousing/lakehouse concepts Data quality, reconciliation and observability Data governance, catalogue, metadata and lineage Master and reference data management awareness Data security and access control Data migration and mapping Cloud data services on Azure and/or AWS Required experience: Development and support of production data pipelines. Experience with structured data, integration patterns and data modelling. Experience implementing data quality and operational monitoring. Experience collaborating with analysts, architects, developers and business stakeholders. Desired experience: AWS Data Services, AWS Glue, Azure Data Factory, Microsoft Fabric, Synapse, Databricks Power BI data ecosystems. Enterprise SaaS data integration and migration. Procurement, supply chain or transactional data. Clearance requirements: SC required to start SC required for the role Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme • Private Medical Insurance • 33 days Annual Leave (including public and privilege holidays) • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) • Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some