Senior Data Engineer - Oxfordshire - £75,000

Senior Data Engineer - Oxfordshire - £75,000

Please note - this role will require you to attend the Oxfordshire based office at least one day per week. To be eligible for this role you must have the unrestricted right to work in the UK - this client is not able to offer sponsorship.

About the Role

A highly skilled Senior Data Engineer is required to join a growing team. This is a hands-on role where the successful candidate will lead by example, manage junior team members, and set best practice standards for data engineering across the organisation.

The position involves playing a key role in an exciting project to migrate an existing Azure data platform into Databricks, while also handling day-to-day data engineering responsibilities. Longer term, the role will focus on shaping the approach to data science and AI technologies, ensuring the organization remains ahead of the curve.

Key Responsibilities

• Lead and mentor junior data engineers, fostering a culture of excellence and collaboration.
• Define and implement best practices for data engineering processes and standards.
• Drive the migration of the Azure data platform into Databricks.
• Design, build, and maintain robust data pipelines and solutions.
• Collaborate with stakeholders to ensure data solutions meet business needs.
• Explore and integrate data science and AI technologies into future projects.

Skills & Experience

• Proven experience as a hands-on Data Engineer in a senior capacity.
• Strong expertise in SQL Server and the Azure data platform (Data Factory, Synapse, etc.).
• Experience with Databricks (or strong willingness to learn).
• Solid understanding of data architecture, ETL processes, and performance optimisation.
• Excellent leadership and communication skills.

What's Offered

• Competitive salary up to £75,000.
• Hybrid working model - 1 day per week on-site in Banbury.
• Opportunity to work on cutting-edge projects and influence the future of data strategy.
• Professional development and career growth in data engineering and AI.

To apply for this role please submit your CV or contact David Airey on or at .

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