Data Engineer

Data Engineer

6 Month contract initially + Extensions

Based:
Hybrid based - 2 days onsite in Sheffield

Rate -£400 - £425 p/d via Umbrella

We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a Data Engineer on a long term program of work.

• 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 i.e 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 non-functional requirements (performance, recoverability, auditability)
• Implement data quality, lineage and governance requirements, support metadata capture and stewardship activities (e.g. 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

• Strong understanding of Operational Resilience concepts and hands‑on experience with relevant data e.g. 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, multi-hop traversal / path analysis) and ability to apply in the context of Operational Resilience e.g. what‑if analysis, identifying critical path / single point of failure
• Demonstrable experience in a data engineering role delivering end‑to‑end data solutions (data sourcing, ingestion, data warehouse / refinery patterns, data asset delivery)
• Strong SQL skills and experience with relational data modelling and optimisation
• Hands‑on experience with cloud data tooling and services (e.g. Google Cloud Platform, including Big Query or equivalent)
• Strong coding capability in Python with solid software engineering practices (version control, testing, CI/CD 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

• Structured thinking and problem‑solving, able to break complex problems into deliverable increments and make clear trade‑offs
• Ability to work independently, taking clear ownership of outcomes and managing timely delivery
• Collaborative ways of working in cross‑functional, geographically dispersed teams
• Effective stakeholder management across business, technology, operations and risk partners
• Pr…