Senior Data Engineer

Senior Data Engineer – Personalised Experiences & Communications Platform

Location: Bristol

Hours: Full-time – 35 hours per week

Working pattern: Hybrid – at least two days in the Bristol office weekly (40% of work time)

A great opportunity to work within the Personalised Experiences and Communications Platform, delivering the highest quality data capability, drawing upon your engineering expertise and leveraging cloud technologies.

• Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real‑time contextualised insights to power customer journeys.
• Using industry‑leading toolsets and evaluating exciting new technologies to design and build scalable real‑time data applications.
• Spanning the full data lifecycle and experience using a mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL Server) to build capabilities with horizon‑expanding exposure to a variety of technologies.
• Helping adopt best engineering practices such as Test‑Driven Development, code reviews, Continuous Integration/Continuous Delivery for data pipelines.
• Mentoring other engineers to deliver high‑quality, data‑led solutions for the Bank’s customers.

• Commercial/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL).

• Working experience with operational data stores, data warehouse, big data technologies, and data lakes.
• Experience with relational and non‑relational databases to build data solutions, such as SQL Server/Oracle, and relational and dimensional data structures.
• Experience using distributed frameworks (Spark, Flink, Beam, Hadoop).
• Strong experience working with Kafka technologies.

• Good knowledge of containers (Docker, Kubernetes, etc.).

• Experience with cloud platforms such as GCP, Azure or AWS.
• Good understanding of cloud storage, networking and resource provisioning.

• Certification in GCP "Professional Data Engineer".
• Certification in Apache Kafka (CCDAK).
• Proficiency across the data lifecycle.

We focus on building an inclusive organisation that reflects modern society and celebrates diversity in all its forms. We warmly welcome applications from under‑represented groups, are disability confident, and will make reasonable adjustments to recruitment processes upon request.

• A generous pension contribution of up to 15%
• An annual performance‑related bonus
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted shopping
• 30 days’ holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more.
Join our journey!