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Data Engineer​/SC cleared​/WFH mths

Remote / Online - Candidates ideally in
Telford, Shropshire, TF3, England, UK
Listing for: Evolution Recruitment Solutions
Part Time, Remote/Work from Home position
Listed on 2026-06-12
Job specializations:
  • Engineering
    Data Engineering
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 477 GBP Daily GBP 477.00 DAY
Job Description & How to Apply Below
Position: Data Engineer / SC cleared days per week / 3 days WFH 6mths

Data Engineer Clearance Required

SC must be live and valid.

Duration

6 months

Location

Telford with 2 days/week in office

Daily Rate

£477 per day

IR35 Status

Inside IR35

Job Description

We are seeking experienced Data Engineers to join our growing team within a large, long-standing public-sector partnership. In this pivotal role, you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale.

This is an exciting opportunity to shape engineering design, grow capability across our teams, and deliver real value for our clients.

Your Role

Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time).

  • Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs.
  • Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security).
  • Support incident resolution and ensure service continuity.
  • Share knowledge, mentor colleagues, and contribute to Capgemini’s engineering communities of practice.
  • Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams.
  • Strong SQL and hands‑on experience with data modelling.
  • Hands‑on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
  • Experience with databases/data platforms (ideally Oracle or Cloudera).
  • Knowledge of cloud platforms (ideally AWS).
  • Good experience with programming/scripting languages (e.g. Python, Bash).
  • Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
  • Excellent client-facing and consultancy skills.
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