Senior Data Engineering Manager
Summary
Lead Unum Group's data engineering function, modernising cloud and on-prem data estates into scalable analytics and AI-ready platforms. A hands-on leadership role managing data engineers and delivering secure, compliant Azure-based solutions (Databricks, Synapse, ADF/Fabric) from Dorking, UK.
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.
Pay / Benefits- 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