Data Engineer - #2175195

GCP Data Engineer

Hybrid - Sheffield (2 days per week onsite)

6-Month Initial Contract

ASAP Start

£400-£430 per day (Inside IR35)

We are seeking an experienced GCP Data Engineer to join a major Operational Resilience programme within a large-scale enterprise environment. This role will play a key part in building and enhancing data foundations that enable the delivery of trusted, governed, and reusable data products supporting critical business services.

Working within a high-performing Data & Analytics function, you will help design and deliver robust data solutions that improve resilience reporting, service dependency mapping, vulnerability identification, and scenario modelling across key business operations.

This is an excellent opportunity for a hands-on data engineer who enjoys working across complex data landscapes and wants to contribute to strategic cloud-based data initiatives.

Key Responsibilities

• Lead the technical delivery of data foundations supporting Operational Resilience initiatives.
• Design, build and maintain scalable data pipelines covering ingestion, transformation, modelling and publishing of data assets.
• Develop and manage reusable Data Products with clear documentation, data quality controls, governance standards and operational procedures.
• Build and optimise data models to support business intelligence, KPI reporting and operational resilience insights.
• Implement data governance, metadata management, lineage tracking and stewardship processes.
• Collaborate closely with Data Architects, Engineers, Analysts and business stakeholders to deliver high-quality solutions.
• Ensure solutions meet performance, security, auditability and recoverability requirements.
• Support the publication of datasets and data products to enterprise data platforms.
• Manage delivery backlogs, prioritise enhancements and coordinate technical delivery activities.
• Produce and maintain technical documentation, data dictionaries, architecture diagrams and operational runbooks.
• Identify delivery risks, dependencies and blockers, driving successful outcomes across the programme.

Essential Skills & Experience

• Proven experience delivering end-to-end data engineering solutions within large enterprise environments.
• Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and associated cloud data services.
• Excellent SQL skills with strong knowledge of data modelling, optimisation and warehouse/refinery architectures.
• Strong Python development skills with experience applying software engineering best practices, including testing, version control and CI/CD.
• Experience designing and building scalable data pipelines and data products.
• Solid understanding of data governance, metadata management, data lineage, access controls and retention policies.
• Experience working with enterprise data integration patterns and large-scale data platforms.
• Strong knowledge of Agile delivery methodologies and tools such as Jira and Confluence.

Desirable Experience

• Experience supporting Operational Resilience programmes.
• Understanding of resilience-related datasets including service dependencies, outages, incidents, disaster recovery testing and impact tolerances.
• Exposure to Procurement, Supply Chain or Real Estate data domains.
• Knowledge of graph data concepts, including nodes, relationships, path analysis and dependency modelling.
• Experience with data governance tools such as Collibra or similar platforms.

If you're a data engineer with strong GCP, BigQuery, Python and SQL expertise and enjoy delivering high-impact data solutions in complex enterprise environments, we'd love to hear from you. Please apply promptly to be considered.