Senior Data Engineer

Join to apply for the Senior Data Engineer role at Phoenix Group
. The position is open to applicants across the UK.

• Job Type: Permanent - Specialist Band 2
• Location: Birmingham, Telford or Edinburgh (hybrid office & home)
• Flexible Working: Part‑time, job‑share and other flexibility options available
• Closing Date: 19/01/2026
• Salary and Benefits: £45,000 - £60,000 plus up to 32% bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and more.

We’re Phoenix Group, a FTSE 100 long‑term savings and retirement business. We offer a range of products across our market‑leading brands such as Standard Life, Sun Life, Phoenix Life and ReAssure. We aim to be the best place for our 6,600 colleagues.

We are seeking a Senior Data Engineer to join our Engineering & Delivery function in Group IT. You will design, implement and optimise data solutions on cloud platforms, with a strong emphasis on Databricks. Your work will influence decisions across operations, digital services, risk management and more.

• Design and implement end‑to‑end data engineering solutions across multiple platforms, including Azure, Databricks, SQL Server and Salesforce.
• Architect and optimise Delta Lake environments within Databricks for scalable, reliable, high‑performance data pipelines for batch and streaming workloads.
• Develop and manage robust data pipelines for operational, analytical and digital use cases, leveraging best practices for ingestion, transformation and delivery.
• Integrate diverse data sources—cloud, on‑premises and third‑party systems—using connectors, APIs and ETL frameworks.
• Implement advanced data storage and retrieval strategies that support operational data stores (ODS), transactional systems and analytical platforms.
• Collaborate with cross‑functional teams to embed data capabilities into business processes and digital services.
• Optimize workflows for performance and scalability, addressing bottlenecks and ensuring efficient processing of large‑scale datasets.
• Apply security and compliance best practices, safeguarding sensitive data and ensuring adherence to governance and regulatory standards.
• Create and maintain comprehensive documentation for data architecture, pipelines and integration processes.

• Proven experience in enterprise‑scale data engineering, with a strong focus on cloud platforms (Azure preferred) and cross‑platform integration.
• Deep expertise in Databricks and Delta Lake architecture, including designing and optimizing data pipelines for batch and streaming workloads.
• Strong proficiency in building and managing data pipelines using modern ETL/ELT frameworks and connectors.
• Hands‑on experience with operational and analytical data solutions, including ODS, data warehousing and real‑time processing.
• Solid programming skills in Python, Scala and SQL, with experience in performance tuning and workflow optimisation.
• Experience with cloud‑native services (Azure Data Factory, Synapse, Event Hub, etc.) and integration patterns for hybrid environments.

We are committed to ensuring that everyone feels accepted and welcome; applicants from all backgrounds are encouraged to apply. If your experience looks different from the advertised profile and you believe you can add value, please let us know. We also welcome candidates requiring adjustments to the recruitment process.

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