Data Engineer Lead

Data Engineer Lead Are you ready for your next career challenge?.. Role overview:  Lead the engineering delivery and productionisation of the Data Intelligence Platform for FDSS and related data capabilities. The role owns the technical path from use-case prototypes and analytical experiments to secure, governed, scalable and supportable data products and platform services.  The role you will play: Set the data engineering and platform delivery direction across FDSS data use cases.  Turn prototype pipelines, models and demonstrations into repeatable production services.  Coordinate data engineering, platform, analytics, ML, security, governance and operational disciplines around a single delivery roadmap.

Own the Data Intelligence Platform engineering strategy, target architecture, roadmap and productionisation standards.  Lead design and delivery of ingestion, event streaming, transformation, lakehouse, serving and analytical data products.  Establish engineering patterns for batch and low-latency data, APIs, feature pipelines and authorised data access.  Define and implement data quality, lineage, metadata, catalogue, master/reference data and reconciliation controls.  Embed CI/CD, Infrastructure as Code, automated testing, observability, FinOps and secure configuration into the platform lifecycle.  Lead production readiness across resilience, scalability, backup, recovery, monitoring, support, data protection and service management.  Coordinate platform dependencies, environments, suppliers and interfaces with wider FDSS and ESCS services.  Set technical priorities, estimate delivery, manage engineering risks and mentor data engineers.  Support governance and stakeholder decisions with transparent measures of platform quality, readiness, performance and value.  Required skills and capabilities:  Data engineering leadership and platform architecture  Cloud data platforms and lakehouse patterns  Batch, streaming and event-driven data pipelines  SQL, Python and distributed data processing  Data modelling, data products and semantic layers  Data quality, observability, lineage, metadata and cataloguing  Data governance, security, privacy and access control  MLOps and productionisation of analytical or AI services  CI/CD, Infrastructure as Code and automated data testing  Reliability engineering, FinOps and service transition  Required experience:  Leadership of data engineering delivery for a production cloud data platform.  Experience taking prototypes, notebooks or analytical use cases through production engineering and operational acceptance.  Experience designing scalable ingestion, transformation and serving patterns.  Experience implementing data quality, governance, security and platform observability.  Experience coordinating product, analytics, engineering, infrastructure, security and operational stakeholders.

Databricks, Microsoft Fabric, Azure data services, AWS data services or comparable platforms.  Data Intelligence Platform, digital supply chain, logistics or defence data use cases.  Event streaming, feature stores, MLOps or AI/ML platform engineering.  Migration of sensitive enterprise data and integration with operational systems.  Experience establishing a data platform team, engineering standards and reusable accelerators.  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