Data Engineer

CV-Library

£104,000–£128,700 a year

Sheffield

Location

Full-time

Job type

Permanent

Contract type

Hybrid

Work setup

Opens CV-Library in a new tab

In brief

This Data Engineer role focuses on strengthening data foundations and accelerating the delivery of governed data products for a major financial services organization. The work involves designing scalable pipelines and developing solutions on GCP and BigQuery to support operational resilience reporting and scenario analysis.

Non-negotiable

Proven Data Engineering experience delivering end-to-end data solutions required.

Worth knowing

This is a six-month contract assignment determined to be inside IR35.

What you need

Required

  • Data engineering

    Clearly required in the listing

  • Data modelling

    Clearly required in the listing

  • Data governance

    Clearly required in the listing

  • Data lineage

    Clearly required in the listing

  • Metadata standards

    Clearly required in the listing

  • Operational resilience

    Clearly required in the listing

  • Risk reporting

    Clearly required in the listing

  • Stakeholder management

    Strongly implied by the listing

  • SQL

    Clearly stated in the job description.

  • Python

    Clearly stated in the job description.

  • Google Cloud Platform

    Clearly stated in the job description.

  • BigQuery

    Clearly stated in the job description.

Preferred

  • Procurement data

    Clearly required in the listing

  • Real estate data

    Clearly required in the listing

  • Graph data modelling

    Clearly required in the listing

  • Dependency analysis

    Clearly required in the listing

Your day-to-day

  • Lead technical data delivery

    Clearly stated in the job description.

  • Build scalable data pipelines

    Clearly stated in the job description.

  • Develop cloud-based solutions

    Clearly stated in the job description.

  • Implement data standards

    Clearly stated in the job description.

  • Create analytical data models

    Clearly stated in the job description.

  • Manage technical delivery

    Clearly stated in the job description.

Experience expected

Level

Senior level

Based on what the listing states

Years of experience

Not stated

No clear years requirement found

Evidence from the listing

Experience level

“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 de…”

What's on offer

Hybrid working
Full job description (from employer)⌄

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

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