Data Engineer

• 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 Template version: March 2020 ( when complete) • 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