CSI GLOBAL LTD
Data Engineering Lead
Sheffield
Posted about 16 hours ago
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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 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 optimized for the CxO Strategic Data Platform and Data Fabric publishing patterns
- Own technical delivery for relevant Data Products, manage backlog, define acceptance criteria, prioritize 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
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Skills/Experience Required:
- 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, multihop 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, 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, data standards)
- Experience with Agile delivery and familiarity with relevant tools (JIRA and Confluence)
- Strong written and verbal communication skills, including the ability to work effectively with technical and non-technical stakeholders
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Soft Skills Required:
- Structured thinking and problem-solving, 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 cross-functional, geographically dispersed teams
- Effective stakeholder management across business, technology, operations, and risk partners
- Proactive continuous-improvement mindset, spots opportunities to simplify, standardise, and scale
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Skills
Data Engineering
Python
SQL
Google Cloud Platform
BigQuery
Relational Data Modelling
Graph Concepts
CI/CD
Data Governance
Agile Methodology
JIRA
Confluence
Collibra
Operational Resilience
Data Pipeline Design
Stakeholder Management