**You will join the Consumer Servicing & Engagement (CS&E) Platform**, a team focused on delivering a unified digital servicing experience for personal customers on the device of their choice. We aim to provide the best digital customer experience by increasing engagement and enabling seamless self-service. Work with other data & ML engineers and technical SMEs to identify, develop and implement new solutions that deliver customer and business value.Promote high quality Data engineering practices alongside maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as needed.Extensive data engineering experience and implementing data management systems. Strong data literacy, with hands-on analytics and development skills. Solid knowledge of data governance, architecture, and lifecycle management. Ability to extract and effectively communicate key points from complex code bases to support production builds. Experience with internal libraries such as GCP shared utilities, and building robust pipeline components using Dataflow, DBT jobs. Proficiency in Kafka, GCP (GKE, Cloud tools), BigQuery, and cloud-native architectures.Familiarity with automation tools and observability frameworks Experience with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes)**We also offer a wide-ranging benefits package, which includes:** • Benefits you can adapt to your lifestyle, such as discounted shopping With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
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