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.

Key Responsibilities:

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

Key Skills & Experience:

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 BigQuery 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

Soft skills required:

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

Pro‑active, continuous‑improvement mindset, spots opportunities to simplify, standardise, and scale Continuous improvement: Proactively identifies inefficiencies and implements improvements to governance and delivery processes.

Strives in ambiguity: Comfortable operating where requirements are evolving; able to create structure, propose options, and drive clarity.

Problem Solver: Able to manage multiple moving parts and resolve blockers through collaboration and escalation when required.

This is an excellent opportunity on a great project of work.

We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.

Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

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