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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Lead - **Company:** Leidos, Inc. - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £75,800.0 - £99,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computing Platforms, Automation of Tests, Backup Devices, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Security, Database Testing, Distributed Computing Environment, Data Intelligence, Python (Programming Language), Machine Learning, Metadata, Reference Data, Reliability Engineering, Cloud Services, Azure Machine Learning, SQL Databases, Data Streaming, Enterprise Data Management, Cloud Platform System, Azure Data Factory, Data Layers, Microsoft Fabric, AI Platforms, Infrastructure Automation Frameworks, AWS Data Analytics, Operational Systems, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 5, 2026 - **Apply:** https://dejobs.org/x/x/1112CCEB932D4D8BB9493E21A2183085/job/ ## About the Role * 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. Desired experience: * 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. ## Description * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)