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

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

• 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 xwzovoh 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