Lead Data Engineer- Basingstoke/ £75,000

Oliver James associates
Basingstoke, United Kingdom
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 75K

Job location

Basingstoke, United Kingdom

Tech stack

Unity
Azure
Databases
Data Dictionary
Information Engineering
Data Warehousing
DevOps
SQL Databases
Data Lake
Data Lineage
Star Schema
Azure
Databricks

Job description

  • 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., * 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.

Requirements

  • 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., * 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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