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Senior Databricks Data Engineer

Tenth Revolution Group

Wytham

Hybrid

GBP 63,000 - 75,000

Full time

3 days ago
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Job summary

A financial services organisation is seeking a Senior Data Engineer to take charge of developing data pipelines and mentoring junior engineers. This hybrid role offers the chance to work with cutting-edge technology and innovatively shape the data capabilities of the company. Candidates should have a strong background in cloud environments, experience with SQL and Python, and an understanding of modern data platforms like Azure and Databricks. The position combines hands-on engineering with leadership responsibilities.

Benefits

Benefits

Qualifications

  • Strong background as a Data Engineer in a cloud environment.
  • Good experience with SQL, Python, and data transformation.
  • Understanding of modern data platforms is essential.

Responsibilities

  • Building and maintaining high-quality data pipelines.
  • Improving engineering standards and ways of working.
  • Supporting junior engineers and reviewing code.

Skills

Data Engineering
SQL
Python
Data Transformation
Agile Methodologies

Tools

Azure
Databricks
Spark
Job description
Senior Data Engineer - Oxfordshire

Up to £75,000 + Benefits - Hybrid (1 day per week on-site)

A financial services organisation is continuing to grow its central Data team and is looking for an experienced Senior Data Engineer to support the next phase of its data journey. The business is modernising its platform and building out new capabilities, so this role offers the chance to shape how things are done while staying hands‑on.

The company is preparing to move from its existing Azure setup to a Databricks-based platform, with a major build programme planned over the coming months. You'll be involved in the development of new pipelines, improvements to existing data flows, and helping to embed better engineering practices across the team.

This position combines day‑to‑day engineering with leadership. You'll oversee the work of two Data Engineers, offer technical guidance, and contribute to wider decisions around architecture and delivery. There's also a longer‑term roadmap that includes automation and early‑stage AI/Data Science projects.

About the role:
  • Building and maintaining high‑quality data pipelines
  • Improving engineering standards and ways of working
  • Supporting junior engineers and reviewing code
  • Working with product, architecture and BI teams to turn requirements into solutions
  • Helping shape the direction of the new platform and future data capabilities
Requirements:
  • Strong background as a Data Engineer in a cloud environment
  • Good experience with SQL, Python and data transformation
  • Understanding of modern data platforms (Azure, Databricks, Spark or similar)
  • Confidence leading workstreams and coaching other engineers
  • Comfortable working in an agile setup
  • Clear communication skills and a collaborative approach
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