Data Engineer

Vallum Associates; Sheffield; On-site; GBP 65,000 - 90,000; Full time

Job summary

Vallum Associates seeks a data engineering specialist focused on Operational Resilience to design and deliver end-to-end data solutions in a large-organisations context.

You will work with business and technical stakeholders to source, ingest, and model data, applying best practices in governance, lineage, and security within modern cloud platforms.

Qualifications

• Experience delivering end-to-end data solutions including sourcing, ingestion and data warehousing.
• Strong SQL skills and relational data modelling.
• Hands-on Python with software engineering practices (version control, testing, CI/CD).
• Understanding of Operational Resilience and related data domains.
• Knowledge of graph concepts and multi-hop analysis for resilience scenarios.
• Experience with cloud data tooling (GCP or equivalent).
• Experience with Agile delivery and Jira/Confluence usage.
• Ability to communicate technical concepts to non-technical stakeholders.

Skills

Operational Resilience concepts

Data engineering

SQL

Python

Cloud data tooling

BigQuery

Graph concepts

Data sourcing / ingestion

Data warehouse patterns

Data governance & lineage

Agile delivery

Stakeholder communication

Tools

JIRA

Confluence

BigQuery

Job description

• 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