Senior Data Engineering Manager

In this role you will lead and shape Unum's data platforms, modernising cloud and on-prem estates to enable scalable analytics and AI. You will guide a high-performance data engineering team, set engineering standards, and ensure secure, compliant data solutions. You will drive end-to-end delivery and collaborate with Architecture, Governance, Product, Data Science and Insights teams. This is a hands-on leadership role with impact on data architecture, governance and platform reliability, at a company focused on healthy, happy workplaces.

• Generous Bonus
• Car Allowance
• Private Medical Insurance
• DC pension scheme
• Life, medical and income Insurance
• remote GP, nutrition coaching, personal training, unlimited mental health support and medical 2nd opinion

• Lead, coach and line‑manage data engineers to build capability and high performance
• Provide senior engineering leadership across cloud and on‑prem platforms for scalable, secure, reliable solutions
• Maintain best practices across patterns, code quality, testing, observability, documentation and data integrity
• Design and deliver data platforms, pipelines, infrastructure and tooling using automated approaches
• Reduce technical debt through remediation, refactoring and legacy migration
• Own end‑to‑end delivery across timelines, quality, resources, risks and third‑party vendors
• Collaborate with Architecture, Governance, Product, Data Science and Insights teams for alignment
• Ensure solutions meet security, governance, regulatory and operational standards
• Communicate decisions, options, risks and progress to senior stakeholders and non‑technical partners

• Proven experience building modern data platforms and pipelines from scratch
• Strong background transforming legacy/on‑prem estates into cloud or hybrid architectures
• Deep expertise in Azure data services (ADLS, Synapse/SQL, Databricks, ADF/Fabric, Event Hub/Kafka, Functions, Key Vault, Purview)
• Solid understanding of data platform engineering (storage/compute patterns, streaming/batch, APIs, orchestration, schema design, performance tuning, reliability)
• Demonstrated leadership in engineering or platform management roles
• Strong grounding in data governance, privacy, lineage and data quality
• Evidence of ownership of technical quality and debt remediation

• leadership
• stakeholder communication
• collaboration
• Azure data services
• data platform engineering
• cloud and on‑prem architectures