Data Engineer

• 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 maintain scalable data pipelines and data products.
• Develop solutions on GCP/BigQuery and publish reusable assets to the Data Fabric.
• Implement data quality, governance, lineage and metadata standards.
• Create data models supporting MI, resilience reporting and scenario analysis.
• Collaborate with architects, engineers and business stakeholders to deliver strategic data solutions.
• Own technical delivery, documentation and backlog management.

• Proven Data Engineering experience delivering end-to-end data solutions.
• Strong SQL and Python development skills.
• Hands-on experience with GCP, BigQuery or similar cloud data platforms.
• Knowledge of data modelling, governance, metadata and lineage.
• Understanding of Operational Resilience, service dependencies and risk reporting.
• Experience working within Agile environments using JIRA and Confluence.
• Excellent stakeholder management and communication skills.

Desired:

• Experience within Procurement or Real Estate data domains.
• Knowledge of graph-based data modelling and dependency analysis.

Our client, one of the world’s largest banking and financial services organizations are seeking a Data Engineer within GCOO Data & Analytics to support the Operational Resilience programme by strengthening data foundations and accelerating delivery of trusted, well-governed data products across Procurement and Real Estate Services.