Lead Data Engineer

Role: Lead Data Engineer Location : Sheffield, UK - Hybrid Type: Contract - Inside IR35 Job Description: Lead technical delivery of data foundations for Operational Resilience providing a governed reusable data layer that underpins how the bank measures resilience maps service dependencies and tests scenario assumptions across Procurement and Real Estate Services Design build and operate robust data pipelines across the data lifecycle ie sourcing ingestion transformation modelling and publishing data assets Build deploy and maintain Data Products aligned to common patterns standards including clear data contracts quality rules documentation and operational runbooks Partner with Data Architects and Technology teams to implement solutions that meet architecture standards technology controls and nonfunctional requirements performance recoverability auditability Implement data quality lineage and governance requirements support metadata capture and stewardship activities eg using tooling such as Collibra Build data models conceptual logical physical as appropriate to enable consistent KPIs dashboards and regulatory management reporting outcomes Contribute to platform adoption by shaping and delivering datasets and data products optimised for the CxO Strategic Data Platform and Data Fabric publishing patterns Own technical delivery for relevant Data Products manage backlog define acceptance criteria prioritise enhancements and coordinate delivery with engineers analysts and business stakeholders Identify and manage delivery risks operational risks and process blockers ensure clear status reporting and dependency management across the programme Produce clear documentation roadmaps data dictionaries architecture diagrams operating procedures in Confluence and maintain delivery traceability in JIRA Skillsexperience required Strong understanding of Operational Resilience concepts and handson experience with relevant data eg service impact tolerances asset dependency incidents outages DR BCP test evidence concentration indicators Conceptual understanding of Procurement Real Estate and associated data domains preferred Demonstrable understanding of graph concepts nodes edges typed relationships multihop traversal path analysis and ability to apply in the context of Operational Resilience eg whatif analysis identifying critical path single point of failure Demonstrable experience in a data engineering role delivering endtoend data solutions data sourcing ingestion data warehouse refinery patterns data asset delivery Strong SQL skills and experience with relational data modelling and optimisation Handson experience with cloud data tooling and services eg Google Cloud Platform including BigQuery or equivalent Strong coding capability in Python with solid software engineering practices version control testing CICD where applicable Experience with enterprise data technologies and platforms commonly used in large organisations and data integration patterns Experience with data governance and operating discipline metadata lineage access controls retention and data standards Experience with Agile delivery and familiarity with relevant tools JIRA and Confluence Strong written and verbal communication skills including ability to work effectively with technical and nontechnical stakeholders Soft skills required Structured thinking and problemsolving able to break complex problems into deliverable increments and make clear tradeoffs Ability to work independently taking clear ownership of outcomes and managing timely delivery Collaborative ways of working in crossfunctional geographically dispersed teams Effective stakeholder management across business technology operations and risk partners Proactive continuousimprovement mindset spots opportunities to simplify standardise and scale