Data Engineer

DCV Technologies; Sheffield; Hybrid; GBP 74,000 - 91,000; Part time

Job summary

DCV Technologies in Sheffield is seeking a Data Engineer to strengthen data foundations and deliver trusted data products for Operational Resilience. You will design scalable pipelines, leverage GCP/BigQuery, and publish reusable assets across the Data Fabric.

The role requires hands-on data modelling, governance, metadata, and strong collaboration with senior stakeholders in an Agile environment. Hybrid work with 2 days in office and 3 days remote is offered.

Qualifications

• Proven data engineering with end-to-end solutions.
• Strong SQL and Python development.
• Hands-on with GCP/BigQuery and data platforms.
• Knowledge of data modelling, governance, metadata and lineage.
• Understanding of Operational Resilience and risk reporting.
• Experience with Agile (JIRA/Confluence) environments.

Responsibilities

• Lead technical delivery of data foundations for Operational Resilience.
• Design, build and maintain scalable data pipelines and data products.
• Develop solutions on GCP/BigQuery and publish reusable assets to 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.
• Own technical delivery, documentation and backlog management.

Skills

Data engineering

SQL

Python

GCP

BigQuery

Data governance

Agile (JIRA/Confluence)

Tools

JIRA

Confluence

Job description

Role/Job title: Data Engineer

Location / Mode of working: Sheffield – 2 days (office) | Remote – 3 days

Role type: Contracting

Mode of working: Hybrid / office based

Contractor Rate: £400 to £495 DoE

Duration of assignment: 6 months / Inside IR35

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.

The role will contribute to the internal strategy to leverage the CxO Strategic Data Platform and publish reusable data products to the Data Fabric. These will be used to support the delivery of Business Service Owner MI, identification of operational asset vulnerabilities, and the modelling of resilience scenarios.

Key Responsibilities:

• 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.

Skills & Experience:

• 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.

This role offers the opportunity to work on a strategically important programme that directly supports Operational Resilience objectives. You'll collaborate with senior stakeholders, influence enterprise data strategy, and help build the trusted data foundations that underpin critical business services across the organisation