Manager Software Engineering

RELX Group · London, England ·

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Overview

As Head of Data Engineering, you will steer the UK&I Data Engineering team to deliver scalable data products and modernise our cloud-based data platforms. You’ll shape strategy, governance, and delivery while collaborating with product, analytics, and operations to support business growth and improved customer outcomes. You will drive cloud transformation, strengthen governance and security, and accelerate AI adoption in a globally aligned organisation. This is a role for a strategic technology leader who builds high-performing teams and fosters a culture of innovation.

Responsibilities

  • Lead and support data engineers with clear priorities and consistent delivery
  • Cultivate 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 using Azure, Databricks, and cloud-native services
  • 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

Key requirements

  • Experience in Data Engineering, Analytics Engineering, Data Platforms, or related technology disciplines
  • Leadership experience managing technical teams
  • Strong expertise in modern data engineering practices, data architecture, and large-scale data platforms
  • Experience delivering cloud-based solutions, preferably using Azure technologies
  • Strong understanding of data governance, privacy, security, compliance, and risk management requirements
  • Experience leading strategic initiatives and complex cross-functional programs
  • Strong communication, stakeholder management, and organisational leadership skills
  • Demonstrated ability to balance delivery execution with long-term technology strategy
  • Strong communication
  • Stakeholder management
  • Organisational leadership
  • Azure technologies
  • Databricks
  • Cloud-based data pipelines
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