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# Senior Data Engineering Manager

- **Company:** Unum
- **Location:** Basingstoke, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Performance Tuning, Reliability Engineering, Standard Sql, Azure Data Lake, Azure Data Factory, Technical Debt, Microsoft Fabric, Apache Kafka, Data Management, Azure Synapse Analytics, Serverless Computing, Key Vault, Databricks
- **Published:** August 6, 2026
- **Apply:** https://dejobs.org/x/x/CEFD74C256EE47D79A63B7B8AB608F41/job/

## About the Role

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.

## Description

* 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.


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