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