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Data Engineer SC Cleared
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-14
Listing for:
Stealth IT Consulting Limited
Part Time, Contract
position Listed on 2026-01-14
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Location: Greater London
Telford (2 days per week on-site)
Up to £530 per day
6-month contract
Active SC Clearance required
Data EngineerWe’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 RoleYou’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
- 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
- Experience leading data initiatives or technical work streams
- Agile, Dev Ops, or data platform certifications
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