Join a digital first bank that's powered by people. Our technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of banking services for our customers around the world. We are looking for an exceptional Principal Engineer to serve as the technical anchor for the Data Asset and Provisioning Technology domain, covering platforms and capabilities including Enterprise Data Assets (EDA), Reference Data, Big Data and Movement, and Data Decisioning engineering. This role will drive technical strategy, architecture, and engineering excellence across distributed data platforms that are foundational to data democratization, AI enablement, customer insight, and regulatory compliance. The Principal Engineer will provide hands:on leadership in modern data and digital engineering practices, hybrid cloud enablement, event:driven architecture, and platform scalability to ensure enterprise:ready and future:fit data services. This role is suited for a senior technologist with deep experience in data platform engineering and the ability to influence product and delivery teams across a large, global, matrixed organization. Job Requirements: stylemargin:bottom:0.0cm;margin:top:0.0px: : Define and evolve the reference engineering standards for core data provisioning platforms, ensuring alignment to the bank's Group Data Strategy and Data Future State Architecture. : Provide deep technical standards and approach leadership across key platforms: stylelist:style:type:circle;margin:bottom:0.0cm;margin:top:0.0px: : Enterprise Data Assets (EDA) and APIs for standardized data provisioning : Reference Data Services for golden source alignment and hierarchy management : Big Data and Movement technologies for ingestion, streaming, and transformation at scale : Decisioning Infrastructure including real:time feature stores and orchestration stylemargin:bottom:0.0cm;margin:top:0.0px: : Lead peer reviews and ensure platform consistency, reusability, and compliance with enterprise standards. : Guide development teams in implementing data pipelines, APIs, metadata:driven controls, and automated testing frameworks. : Champion DevSecOps, CI/CD, and infrastructure:as:code across engineering teams. : Drive the control transition to using agentic AI coding assistants. : Lead the technology Developer Experience, enabling the whole of technology to discover, understand and onboard themselves to our services. : Drive best practices in observability, performance engineering, cost optimization, and scalability in hybrid cloud environments. : Mentor senior engineers and influence technical delivery across multiple squads and geographies. : Collaborate with Architecture, Cybersecurity, CDO, and business product owners to align engineering outcomes to strategic objectives. : Represent the domain in cross:platform technology councils and architecture forums. Qualification and Skills: stylemargin:bottom:0.0cm;margin:top:0.0px: : Hands:on experience in data platform engineering, architecture, or software development, preferably in a global financial institution or scaled enterprise. : Expertise in building large:scale data pipelines, APIs, and event:driven systems using modern frameworks and technologies (e.g., Spring, Kafka, Spark, etc). : Strong architectural understanding of data mesh, data lakehouse, and real:time, customer:facing operational and analytics platforms. : Experience with cloud platforms (AWS and GCP), containerisation, and IaC tools. : Deep familiarity with development tooling and automation covering modelling, observability, resilience, and governance patterns. : Strong track record of building reusable platform services that accelerate delivery for data consumers and AI/ML initiatives. : Experience with enterprise reference data management and integration is highly desirable. : Excellent communication and influ