Data Engineer

Job Description

Key Responsibilities

• Apply best practices for data design, ensuring scalable, high‑quality and consistent architecture and modelling.
• Provide timely and accurate root‑cause analysis and resolution within SLA timeframes.
• Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.
• Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.

Team Roles & Responsibilities

• Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security.
• Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation‑wide consistency.
• Apply Agile principles for iterative and collaborative development.
• Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation.

Experience & Skills Required

• Proven experience in Data Engineering, with strong hands‑on experience in Python, Data Modelling, Data Warehousing .
• Strong background in incident resolution, requests, changes and problem‑solving within SLAs.
• Hands‑on experience with Spark, Data Architecture, SQL and Delta Lake.
• Cloud development experience (AWS, GCP or Azure).
• Working knowledge of Medallion Architecture.
• Demonstrated capability in implementing and supporting pipelines in demanding environments.
• Strong communication skills and confidence presenting ideas and technical approaches.
• Ability to work effectively in complex, high‑pressure environments using both legacy and modern technologies.
• Strong analytical thinking and attention to detail.

Desirable

What We Offer

• Aviva Digicare + workplace / Car leasing and cycle to work scheme
• Colleague discount scheme / Perks at work / Gym discounts
• Life assurance / Workplace pension scheme
• Ongoing professional development

Our Commitment to Inclusion

Requirements

• Proven experience in Data Engineering, with strong hands‑on experience in Python, Data Modelling, Data Warehousing .
• Strong background in incident resolution, requests, changes and problem‑solving within SLAs.
• Hands‑on experience with Spark, Data Architecture, SQL and Delta Lake.
• Cloud development experience (AWS, GCP or Azure).
• Working knowledge of Medallion Architecture.
• Demonstrated capability in implementing and supporting pipelines in demanding environments.
• Strong communication skills and confidence presenting ideas and technical approaches.
• Ability to work effectively in complex, high‑pressure environments using both legacy and modern technologies.
• Strong analytical thinking and attention to detail.