Lead Data Engineer

🔥 4 minutes ago

🇬🇧 United Kingdom – Remote

💵 £75.8k - £99.8k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Lead engineering delivery and productionisation of the Data Intelligence Platform for FDSS and related data capabilities • 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 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 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 measures of platform quality, readiness, performance and value

🎯 Requirements

• 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 • 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 • SC clearance required to start and required for the role

🏖️ Benefits

• 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 • Work-from-home, office, or customer-site flexibility • Technical academies • Career rotations • Career development plans