Senior Data Engineering Manager
Summary
Lead a team of data engineers to build and modernize cloud and hybrid data platforms using Azure services like Synapse, Databricks, and Fabric, driving analytics and AI capabilities for a fintech company.
- Lead, coach and inspire a team of Data Engineers, fostering a collaborative, innovative and high-performance culture.
- Define and implement modern engineering standards, ensuring excellence in coding practices, testing, observability, documentation and data quality.
- Design and deliver scalable cloud and hybrid data platforms, pipelines and tooling using automation-first engineering principles.
- Drive the modernisation of our data estate, reducing technical debt and leading migration from legacy technologies to strategic platforms.
- Own end-to-end delivery of data engineering initiatives, balancing quality, timelines, resources, risk management and vendor relationships.
- Partner with Architecture, Product, Governance, Data Science and Insights teams to deliver aligned, business-focused solutions.
- Champion secure, reliable and compliant engineering practices across all platforms and services.
- Communicate technical strategy, options, risks and progress effectively to senior leaders and non-technical stakeholders.
- Help shape the future direction of data engineering, analytics and AI capabilities across Unum.
- You'll bring a combination of technical expertise, strategic thinking and people leadership, alongside:
- Proven experience building modern data platforms and pipelines from the ground up.
- A strong track record of transforming legacy or on-premises environments into modern cloud or hybrid data architectures.
- Deep expertise across the Azure data ecosystem, including:
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics / SQL
- Databricks
- Azure Data Factory (ADF) / Microsoft Fabric
- Event Hub and Kafka
- Azure Functions
- Key Vault
- Microsoft Purview
- Strong knowledge of data platform engineering principles, including storage and compute patterns, batch and streaming architectures, orchestration, APIs, schema design, performance optimisation and reliability engineering.
- Experience leading engineering teams and developing technical capability.
- A strong understanding of data governance, privacy, lineage and data quality frameworks.
- Proven success in driving engineering excellence and technical debt remediation.
- We offer a highly competitive reward package including:
- Generous annual bonus
- Car allowance
- Private Medical Insurance
- Defined Contribution pension scheme
- Life assurance, income protection and medical cover
- Access to a remote GP service, nutrition coaching, personal training, unlimited mental health support and medical second opinions
- 27 days holiday plus Bank Holidays, with the option to buy or sell up to 5 additional days
- Salary sacrifice electric vehicle scheme with free on-site charging
- Flexible and supportive working environment focused on wellbeing and development
We're looking for an experienced and visionary Senior Data Engineering Manager to lead the transformation of Unum's data ecosystem. This is a rare opportunity to shape and modernise both our cloud and on-premises data platforms, establishing the foundations that will enable advanced analytics, AI, and data-driven decision-making across the business. You'll lead a talented team of engineers while remaining close to the technology, setting engineering standards, driving innovation, and creating scalable, automated data products that deliver real business value. If you're passionate about building modern data platforms, leading high‑performing teams, and leaving a lasting technical legacy, we'd love to hear from you.
Unum UK
Why join us? At Unum, we've created a workplace where people feel supported to progress and grow, and can see their ambitions coming to life.