Response Informatics

Lead Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer on an Enterprise Data Platform using Microsoft Fabric, requiring active SC Clearance. It involves team leadership, stakeholder coordination, technical ownership, and multi-source integration. Key skills include ETL, observability, and data engineering. Contract length and pay rate are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Leadership #Security #"ETL (Extract #Transform #Load)" #Observability #BI (Business Intelligence) #Dataflow #Semantic Models #Documentation #Data Engineering
Role description
Role - Lead Data Engineer (Enterprise Data Platform (Microsoft Fabric) Hybrid/ 2 days a week Active SC Clearance Role skills & responsibilities • Team leadership & delivery: Set standards, direct engineers, review designs, unblock delivery, mentor the team; plan and coordinate across internal squads and suppliers; manage risks/issues to meet EDP milestones. • Stakeholder coordination: Engage effectively with product owners, analysts and technology leads; report progress and risks to senior stakeholders and the SRO with concise status updates and decisions. • Technical leadership: Own EDP architecture on Microsoft Fabric (Lakehouse/Warehouse patterns, OneLake organization); define and implement ingestion and transformation pipelines (Dataflows Gen2, Notebooks); establish modelling standards for the gold layer and semantic models; performance/cost optimization; lineage/observability; governance (RBAC/security, data retention). • Multi‑source integration: Coordinate reliable ingestion/orchestration, testing and release practices. • Operational readiness: Ensure documentation/run‑books and non‑functional requirements (security, resilience, performance) are met. Current EDP milestone – Gold‑layer modelling (context for urgency) • Country/facility risk parameter processing progressing; initial gold‑layer documentation produced. • Bi‑weekly Golden Layer review cadence in place; test data preparation underway for report validation. • Target outcome: baseline gold‑layer model components to enable consistent semantic models and reporting.