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Data Engineer SC Cleared

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Stealth IT Consulting Limited
Part Time, Contract position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 530 GBP Daily GBP 530.00 DAY
Job Description & How to Apply Below
Position: Data Engineer SC Cleared - 6 Months Contract
Location: Greater London

Telford (2 days per week on-site)

Up to £530 per day

6-month contract

Active SC Clearance required

Data Engineer

We’re looking for an experienced Data Engineer to join a newly formed scrum team working on a large-scale, data-driven platform within a highly regulated public sector environment. This role focuses on building and enhancing robust data acquisition, ingestion, and risking services that underpin critical analytics and decision-making capabilities.

The Role

You’ll play a key part in designing and delivering scalable data pipelines and integration services that consolidate multiple data sources into a unified, high-performance platform. The work supports complex analytical and BI workloads, leveraging modern data engineering, cloud, and Dev Ops practices.

Key Responsibilities
  • Design, build, and deploy data integration and transformation solutions
  • Develop scalable data pipelines and services for analytics and BI platforms
  • Work closely with product owners, analysts and engineers to define requirements and deliver solutions
  • Contribute to Agile / Scrum ceremonies and continuous improvement
  • Implement Dev Ops practices including CI / CD, automated testing, and deployment
  • Ensure high standards of data quality, governance, and security
  • Troubleshoot complex data and performance issues
  • Mentor junior team members where required
Key Skills & Experience
  • Strong ETL experience with Pentaho, Talend
  • Data virtualisation experience using Denodo for data analytics and reporting
  • Strong data modelling skills
  • Hands‑on AWS experience building, integrating, or supporting data solutions in the cloud
  • Experience with Dev Ops tooling (e.g., Jenkins, Git, Docker, Kubernetes)
  • Solid understanding of Agile and Scrum ways of working
  • Strong communication and problem‑solving skills
Nice to Have
  • Experience leading data initiatives or technical work streams
  • Agile, Dev Ops, or data platform certifications
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