> Markdown version of [/jobs/ext/2021910-senior-data-engineer-customer-data-services-cio-enabling](https://www.wearedevelopers.com/jobs/ext/2021910-senior-data-engineer-customer-data-services-cio-enabling). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Customer Data Services - CIO Enabling - **Company:** Lloyds Banking Group - **Location:** Bristol, UK - **Experience:** Expert - **Salary:** £72,702.0 - £80,780.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Amazon Web Services, Microsoft Azure, BigQuery, Information Systems, Customer Data Management, Information Engineering, Data Warehousing, DevOps, Reference Data, Power BI, SQL Databases, Tableau (Software), Google Cloud, Data Build Tool (dbt), Containerization, Kubernetes, Data Analytics, Apache Kafka, Data Management, Looker Analytics, Data Pipelines, Docker - **Published:** August 11, 2026 - **Apply:** https://lbg.wd3.myworkdayjobs.com/LBG_Careers/job/Bristol/Senior-Data-Engineer---Customer-Data-Services---CIO-Enabling_153388 ## About the Role * Experience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services. * Experience with SQL and data warehouse technology such as BigQuery. * Experience with data visualisation tools such as Tableau, Power BI, or Looker. * Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes). * Relevant certifications in data engineering, cloud platforms, or related areas. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. ## Description This role sits within our Customer Data Services Platform, and we're the team that looks after the reference data, product data for the whole of Lloyds Banking Group. Our mission is to make this data available for the right purpose with the appropriate confidentiality whilst ensuring a phenomenal engineering experience based on performance, resilience, and integrity. The systems we support, underpin almost everything we do as Lloyds Banking Group. We maintain these systems with the highest standard and operate them 24/7 using SRE principles., As a Senior Data Engineer, you'll be responsible for building and optimising data pipelines and architectures that enable data driven insights across the organisation. You'll work primarily within Informatica, IBM product manager and Google Cloud Platform (GCP) ecosystem, leveraging tools such as Big Query, DBT (Data Build Tool), Apache Kafka, and SQL and many more including legacy technologies. We expect a high degree of automation for tests and deployments. We follow LBG's agile practices and governance processes. * Expertise in MDM (Master Data Management), reference data management, and GCP * Participate in design/implementation reviews and team ceremonies * Continuously look for reuse and opportunities to automate repetitive tasks * Support building a strong team by mentoring early career engineers * Invest to develop technical and agile skills Why join us? We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for? * Data Engineering: Implementing data management processes and systems * Data Literacy: Designing, developing, and applying data and analytics experience * Data Modelling and Design: Practice of visually representing the design of information systems * Experienced in working with MDM, reference data, and product data management, Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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