Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer (DV Cleared)

DataCareers
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (DV Cleared)
6 Month Contract (Inside IR35)
Location: London
Rate: £700 - £800 per day

Skills: DV Clearance ESSENTIAL - Must already hold DV clearance, Cloud technology experience

We are looking to recruit a DV Cleared Data Engineer to join a defence organisation based in Central London.

This is an initial 6 month contract with chances for extensions likely. The role is fully office based in Central London.

Key Responsibilities:

  • Technical Leadership: Lead and guide the technical direction of data engineering projects.
  • Data Pipeline Development: Design, develop, and maintain robust data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, and SQL Server.
  • Data Integration: Extract, transform, and load data from diverse sources into a new platform.
  • Data Product Development: Collaborate with stakeholders to define and build data products that deliver actionable insights.
  • Team Mentorship: Mentor and develop a junior Data Engineer, fostering their growth and skill development.
  • Collaboration: Work closely with other developers and technical teams to ensure seamless integration and effective communication.

Essential Skills and Experience:

  • Proven experience in data engineering roles, including data pipeline development and data integration.
  • Experience working with diverse data sets and data sources.
  • Excellent communication and collaboration skills.
  • DV Clearance:Must already hold MOD DV clearance.

Desired Skills:

  • Experience with Palantir
  • Azure experience
  • Defence industry experience



Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.