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

Apply Now

Data Engineer

TRIA
Milton Keynes
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

TRIA Milton Keynes, England, United Kingdom

TRIA Milton Keynes, England, United Kingdom

Get AI-powered advice on this job and more exclusive features.

Remote – Occasional Travel to Milton Keynes

We’re working with a well-known insurance company currently undergoing a company-wide transformation programme. They’re looking for a Data Platform Engineer to help improve their cloud-based data platform and build out their DataOps capabilities.

The organisation has invested in several PaaS tools but currently has limited capability, giving you the opportunity to build things from the ground up, implement best practices, and share your knowledge. A key part of your role will be setting up monitoring and alerting across the platform.

Experience Required:

  • Hands-on with Data Platform tools: Snowflake, dbt, Airflow, and Fivetran
  • Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting
  • Access management using Azure Active Directory (Entra ID)
  • Proven experience setting up monitoring and alerts
  • Proactive approach with strong communication skills
  • Experience with Elastic

Please apply directly and we’ll be in touch.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeContract

Job function

  • Job functionEngineering, Information Technology, and Analyst
  • IndustriesIT Services and IT Consulting, Financial Services, and Technology, Information and Media

Referrals increase your chances of interviewing at TRIA by 2x

Sign in to set job alerts for “Data Engineer” roles.

Milton Keynes, England, United Kingdom 22 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.