Lead Data Engineer- Basingstoke/ £75,000

Does Not Offer Sponsorship

Hybrid - Basingstoke (3 Days a Week)

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• Lead the evolution of our data engineering practice, supporting modernisation, automation, and scalability.
  
• Design and optimise Databricks architecture, data models, and deployment standards.
  
• Re‑build and re‑platform core components to handle growing data volumes and business demand.
  
• Implement better controls around change management, lineage, and deployment (DevOps for data).
  
• Introduce new tooling around change deployment and governance in partnership with external consultants.
  
• Improve data quality through robust monitoring, testing frameworks, and alerting solutions.
  
• Maintain and modernise SQL workloads, including legacy databases and reporting environments.
  
• Support upgrades, platform enhancements, and new data tooling selection.
  
• Provide best‑practice guidance to the wider data function and line‑manage up to 3 individuals.
  
• Ensure documentation, data dictionaries, lineage, and governance standards are embedded across the team.
  

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• Strong expertise with SQL, particularly Databricks SQL.
  
• Demonstrable experience designing data models (e.g., star schema) and scalable architecture.
  
• Knowledge of Azure Modern Data Warehouse tools: Synapse, Databricks, Delta Lake, Unity Catalog.
  
• Experience with pipeline orchestration (e.g., Synapse pipelines).
  
• Proven background in ITIL change management and incident management.
  
• Implementing data quality controls, monitoring, and alerting in production environments.
  
• Experience managing data lineage, glossaries, and data dictionaries.
  

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• Exposure to legacy or DBA‑style SQL performance work.
  
• Experience working alongside or managing consultancy partners.
  
• Background in high‑data‑volume or regulated industries.
  

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• Help choose and implement the tooling that will define our future.
  
• A strategic, hands‑on role that truly shapes our platform.
  
• The chance to modernise a growing data function from the ground up.
  
• A team of 8 (4 engineers) with consultancy support and room to scale.
  
• Long‑term career impact: your work sets the foundation for the next phase of our data maturity.
  

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