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

Apply Now

Principal Data Engineer

Trust In SODA
London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

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

This range is provided by Trust In SODA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Do you want to work for one of the fastest growing FinTech in the B2B Banking space?

Do you want to own the Snowflake rollout for a business that runs on Data-Driven Decision making?

My client is a hugely successful FinTech whose data-driven approach to lending is making waves in the B2B banking sector.

They now have an imminent requirement for a Principal Data Engineer to spearhead an exciting new project, ideally with knowledge of:

  • Data Warehousing (Snowflake)
  • Programming (Python)
  • Relational Databases (SQL, PostgreSQL, LookML)
  • DevOps (Docker, K8s, Terraform)

In return they would be offering:

  • 25 days’ holiday (+ birthday off + option to buy or sell an additional five days of annual leave + unlimited unpaid leave)
  • A one-month, fully paid sabbatical after four years
  • Half a day towards L&D every fortnight
  • Two company retreats a year

If you’re passionate about Snowflake and keen to work for one of the fastest growing FinTech businesses in the UK, please apply right away!

Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Information Technology

London, England, United Kingdom

End of description


#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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.