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Head of Data Engineering

Location:
Greater London, South East, England
Salary:
£100000 - £150000 per annum
Job Type:
Permanent
Date Posted:
11 days ago
Expiry Date:
12/09/2025
Job Ref:
BH-122324
Start Date:
29/07/2025
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
Data EngineeringEngland
Head of Data Engineering
A leading provider of data-driven technology solutions is seeking a Head of Data Engineering to lead the strategic direction and delivery of a cutting-edge data platform. This senior leadership role offers a competitive salary, excellent benefits, and flexible hybrid working.
The organisation’s platform is trusted by diverse professional users for critical, data-driven decision-making. Having modernised key infrastructure, the next priority is unlocking the full potential of its data assets through unified architecture, enhanced governance, and self-service capabilities.

What we’re looking for:
  • An experienced leader who can collaborate effectively across data science, product, engineering, compliance, and analytics teams
  • A strategic thinker able to align multiple workstreams towards a scalable, reliable, and high-quality data platform
  • Strong knowledge of data compliance frameworks
  • Proven experience migrating from legacy SQL-based systems to modern technologies like PySpark, Databricks, Terraform, and Pandas
  • Hands-on ability to analyse and understand complex data sets
  • Ideally, experience with multi-cloud environments (Databricks on Azure and AWS)
  • A product-minded leader focused on solving customer and business data challenges
  • A culture builder who drives continuous improvement and operational excellence

What we value:
  • Collaboration and mentorship
  • High standards of quality and trust
  • Customer-centric problem solving
  • Ownership and adaptability in dynamic environments
  • Curiosity and eagerness to learn new technologies

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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