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Engineering Manager - Data

Nominet UK · Oxford/ Hybrid, GB, OX4 4DQ · United Kingdom · Hybrid

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Contract Type:  Permanent Location:  Hybrid, with a minimum of 20% in the Oxford office per month About Us:  We’re Nominet – a world-leading domain name registry operating at the heart of the UK internet. While we're best known for running .UK domains, our DNS expertise also underpins critical internet infrastructure that government services, including the NHS, rely on.    As a public benefit company, our work has a positive impact on society. We’ve donated millions to projects that use technology to improve people’s lives and have committed to delivering £60m worth of support over the next three years.  The Role:  Lead Nominet's Data function, bringing together data platform engineering, data analysis and database engineering as one coherent, high-performing team.    This is a people leadership role first, supported by enough technical depth to set engineering standards, review designs and challenge approaches.    You will lead the modernisation of our data estate towards everything-in-code, automated and rebuildable infrastructure, while treating the teams who rely on our data as customers. Success means a reliable, well-governed data platform, stronger engineering practice and a team that grows in capability and impact.   What You'll Be Doing:     Lead, coach and develop a multidisciplinary team of approximately 11 people across data platform engineering, data analysis and database engineering, including recruitment, objectives, performance and career development.   Build a high-performing, connected data function by creating stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement.   Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt.   Drive modern engineering practice across the data function, including version control, peer review, CI/CD, automated testing, infrastructure as code and eliminating manual production changes.   Lead the transition from traditional DBA operations towards code-defined, automated and rebuildable database environments, including automated schema migrations and immutable infrastructure approaches.   Own observability, reliability and cost management across the data estate, establishing meaningful monitoring, alerting and clear service levels for the services teams depend on.   Make data quality, ownership, lineage, governance, security and privacy engineered properties of the platform, with clear accountability and consistent definitions for consumers.   Build a strong product mindset around internal customers by understanding their workflows, creating feedback loops and ensuring the roadmap reflects the outcomes they need.   Work closely with engineering, product, security, architecture, and business teams, communicating…