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Head of Data Engineering – Cloud & AI Leader

relx

🇬🇧 English
Azure Databricks cloud-native services modern data architectures data governance compliance data engineering analytics engineering

Job description

About the role

As Head of Data Engineering you will provide strategic leadership and operational oversight for the UK&I Data Engineering team, driving cloud modernisation, strengthening governance and security, and accelerating AI adoption across a global organisation.

Key responsibilities

  • Lead and support data engineers, ensuring clear priorities and consistent delivery.
  • Build a culture of accountability, collaboration, continuous improvement, and innovation.
  • Support career development, succession planning, talent acquisition, and workforce planning.
  • Foster knowledge sharing and engineering excellence across US and UK teams.
  • Oversee delivery of data products, ingestion pipelines, reporting solutions, and customer‑facing capabilities.
  • Lead cloud migration and modernisation initiatives leveraging Azure, Databricks, cloud‑native services, and modern data architectures.
  • Ensure adherence to data governance, privacy, security, compliance, and regulatory requirements.
  • Partner with Product, Analytics, Architecture, Operations, and Business Leaders to deliver scalable technical solutions.

Required profile

  • Proven experience in Data Engineering, Analytics Engineering or related technology disciplines.
  • Leadership experience managing technical teams and delivering large‑scale data platforms.
  • Strong expertise in modern data engineering practices and cloud‑based solutions, preferably Azure.
  • Deep understanding of data governance, privacy, security, compliance and risk management.
  • Demonstrated ability to lead strategic initiatives and complex cross‑functional programs.
  • Excellent communication, stakeholder management and organisational leadership skills.

Required skills

  • Azure cloud services
  • Databricks
  • Cloud‑native services and modern data architectures
  • Data governance, privacy, security and compliance
  • Data engineering and analytics engineering platforms

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Source : ats:workday

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Published 1 week ago

Expires 1 month from now

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