Data Engineering Manager

About the role

The Data Engineering Manager leads the team responsible for building and operating the data pipelines, transformations, and platform components that deliver trusted data products and certified reporting across the organisation. You'll own engineering delivery end-to-end - ensuring data is ingested, transformed, and served reliably, at scale, and to defined standards. You'll set and enforce engineering practices across the team, manage production operations including monitoring and incident response, and actively manage platform cost and performance. This is a hands-on leadership role: you'll line-manage a team of data engineers, set clear expectations for quality and ownership, and build a culture of continuous improvement. You'll work in a regulated financial services environment where auditability, resilience, and governance are non-negotiable - and where the data you deliver powers executive decision-making, regulatory reporting, and client-facing outcome Key Accountabilities Engineering Delivery & Operations Own the end-to-end delivery of data pipelines, transformations, and platform components required to support the data product roadmap Ensure pipelines are: Idempotent, recoverable, and production-grade Tested at unit, integration, and data-quality levels Observable with clear alerting and escalation paths Documented to a standard that supports shared ownership Manage delivery against sprint commitments, providing clear progress updates and early escalation of risks Own production operations, including: Monitoring and alerting Incident triage, resolution, and root-cause analysis Runbooks and operational documentation On-call or support arrangements where required Ensure production issues are resolved with clear ownership, timelines, and learning Platform Performance, Cost & Sustainability Own the cost and performance profile of data engineering infrastructure Actively monitor and optimise: Query and pipeline performance Compute and storage costs Resource utilisation across environments Make design and delivery decisions that balance performance, cost, and maintainability Manage technical debt as a visible backlog item - not an invisible tax on delivery speed Partner with platform and technology teams on infrastructure evolution, capacity planning, and tooling decisions Engineering Standards & Practices Define, maintain, and enforce engineering standards, including: Coding conventions and naming standards Code review and peer review practices Testing strategy (unit, integration, data quality, regression) CI/CD and deployment practices Branching, versioning, and release management Documentation and metadata requirements Ensure standards are practical, adopted, and reviewed - not theoretical documents that sit unused Act as the engineering design authority for implementation decisions, in partnership with the Principal Data Modeller on data model design Ensure consistency across squads where multiple engineers contribute to shared domains People Leadership & Capability Line manage, coach, and develop data engineers Set clear expectations for delivery quality, ownership, and professional standards Build a high-performing team culture focused on: Quality and craftsmanship Ownership and accountability Continuous improvement and learning Collaboration and knowledge sharing Ensure the team has the right skills, capacity, and structure to meet roadmap commitments Own hiring, onboarding, performance management, and career development Identify and address skill gaps through development plans, hiring, or training Ensure knowledge is distributed - actively reduce single points of failure Stakeholder & Cross-Team Partnership Partner closely with: Data Product Managers (priorities, requirements, acceptance criteria, trade-offs) Principal Data Modeller (data model standards, canonical entities, transformation logic) Data Governance (metadata, lineage, quality controls, access policies) Platform & Technology (infrastructure, tooling, security) Provide realistic delivery forecasts and make trade-offs visible and explicit Translate product requirements into engineering delivery plans with clear dependencies and sequencing Escalate risks, blockers, and capacity constraints early and transparently Represent engineering perspective in roadmap planning and prioritisation discussions Governance, Risk & Regulatory Alignment Ensure engineering delivery meets regulatory, security, and governance requirements Ensure data pipelines and pla

Additional Information

Excited to grow your career? Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you!

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