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Lead Data Engineer in Hexham

Skills

azureclouddata engineeringdata pipelinesdatabrickseltetlsqlstakeholder management

Description

Job Description

Lead Data Engineer

Location: Newcastle (Hybrid)
Salary: Up to £80,000 + Benefits

Lead Data Engineer role joining a growing organisation embarking on a major data transformation programme. This role offers the chance to lead the migration from legacy on-premise data platforms to a modern Databricks-based architecture, helping to shape the future of the company's data capabilities.

As a Lead Data Engineer, you will play a key role in designing, building and optimising scalable data solutions while providing technical leadership to a team of engineers and analyst. You'll work closely with stakeholders across the business to deliver high-quality data products that drive insight and decision-making.

Key Responsibilities

  • Lead the migration of data platforms from on-premise environments to Databricks
  • Design and develop scalable data pipelines and data integration solutions
  • Drive best practices across data engineering, architecture and governance
  • Mentor and support data engineers/analysts within the team
  • Collaborate with business and technical stakeholders to understand requirements and deliver solutions
  • Improve platform performance, reliability and scalability
  • Contribute to the long-term data strategy and roadmap

Skills & Experience

  • Strong experience in Data Engineering roles, including leadership or mentoring responsibilities
  • Hands-on experience with Databricks
  • Experience delivering cloud-based data platforms and migration projectsStrong SQL
  • Experience building and maintaining ETL/ELT pipelines
  • Knowledge of Azure data technologies would be advantageous
  • Excellent communication and stakeholder management skills

What's on Offer

  • Salary up to £80,000
  • Hybrid working model based in Newcastle
  • Opportunity to lead a significant data modernisation programme
  • Exposure to modern cloud and data technologies
  • Career progression in a growing data function
  • Collaborative and supportive working environment

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