Data Engineer

Purpose of the role

To build and maintain the 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 maintenance of data architectures and pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration 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.
• Requires in-depth technical knowledge and experience in their assigned area of expertise.
• 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.
• Demonstrate the four LEAD behaviours:
  Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• For an individual contributor, develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies and procedures appropriately.
• Take responsibility for embedding new policies and procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
• Deliver work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organization’s products, services and processes.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function.
• Make evaluative judgments based on the analysis of factual information.
• Resolve problems by identifying and selecting solutions through the application of technical experience.
• Guide and persuade team members and communicate complex or sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside the team and external to the organization.

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 in 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.

• 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.
• Proficiency in PySpark and SQL to…