Data Engineer

Join us at Barclays as a Data Engineer, where you will design, build, and operate high-quality, reusable data products that power critical business outcomes. In this role you will engineer and manage end-to-end data product life cycles—from ingestion and transformation to serving—across pipelines on the data platform. You will ensure that data products are trusted, well-governed, discoverable, and fit for purpose, with clear ownership, defined SLAs, and embedded controls.

• Designing and delivering scalable, production-grade data products aligned to business capabilities and use cases
• Embedding data quality, lineage, observability, and metadata standards to support auditability and regulatory compliance
• Ensuring timely, secure, and governed access to data through well-defined interfaces and contracts
• Collaborating with product owners, architects, and domain teams to align data products to business outcomes and platform strategy
• Supporting the evolution of our data product operating model, enabling reuse, interoperability, and consistent delivery across domains

Your work will directly enable reliable, outcome-driven data products, accelerating value delivery within the Product domain, and beyond.

To be successful as a Data Engineer, you should have experience with:

• Cloud Data Engineering Expertise – Ability to design and build scalable, production-grade data products on AWS (Glue, Athena, S3, Databricks), managing batch pipelines and ETL/ELT processes in alignment with defined SLAs, data contracts, and reuse standards.
• Programming & Query Languages – proficiency in PySpark and SQL to develop robust transformations, automate data product pipelines, and deliver high-quality, consumable data assets.
• Data Pipeline Design & Optimisation – Ability to engineer and optimise end-to-end data product pipelines, ensuring data quality, reliability, lineage, observability, and security are embedded by design to meet regulatory and business requirements.

• Cost-Aware Engineering & Fin Ops:
  Optimize storage and compute for sustainable scale.
• Infrastructure-as-Code & Dev Ops:
  Skills in Gitlab, automated deployments, and environment provisioning.
• Data Visualisation & BI Tools:
  Ability to support reporting engineers with Tableau or similar tools for end-to-end delivery.
• Experience working within Barclays Agile ways of working, contributing to iterative delivery of data products aligned to business capabilities and measurable outcomes.
• Agile Tooling:
  Strong experience using Jira to manage backlog, ensure traceability from business capabilities to data products, and support governed delivery.

This role is based in Northampton.

To build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

• Build and maintain data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data.
• Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaborate with data scientists to build and deploy machine learning models.

• Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
• Have in-depth technical knowledge and experience in the assigned area of expertise.
• Possess thorough understanding of the underlying principles and concepts within the area of expertise.
• Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviours:
  Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• Or, as an individual contributor, develop technical expertise, acting as an advisor where appropriate.
• Have an impact on the work of…