Snowflake & Matillion Data Engineer...

Tenth Revolution Group
London, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Commercial Data Scientist

Synthesia London, United Kingdom
Remote

Machine Learning Engineer

The Recruitment Company Waterford, Waterford County, Ireland
£65,000 – £75,000 pa

Software Engineer, Real Time

OpenAI United Kingdom
Permanent

Software Engineer - AI Workbench

PhysicsX London, United Kingdom
Posted
16 Jan 2026 (3 months ago)

Contract Data Engineer - Snowflake & Matillion Rate: £420/day Outside IR35Duration: 3 months (likely extension)Location: Fully Remote (occasional half-day onsite optional) About the Role We're looking for a hands-on Data Engineer who can do more than just deliver - someone who brings best practice, thinks creatively, and challenges the status quo. You'll be working with a modern data stack (Snowflake, Matillion) to design, model, and optimise data solutions that perform at scale. This isn't a role for someone who just ticks boxes. We want a proactive problem-solver who can advise on strategy, drive improvements, and deliver robust solutions. Key Responsibilities Design and implement data models that support business needs.Optimise performance across Snowflake and Matillion pipelines.Deliver hands-on solutions while advising on best practices.Collaborate with remote teams and communicate effectively.Bring fresh ideas and think outside the box. What We're Looking For Strong experience with Snowflake and Matillion.Matillion is a non negotiable you must be strong in both Snowflake and Matillion.Solid understanding of data modelling and ETL performance tuning.Ability to challenge and improve processes, not just follow them.Excellent communication skills - confident and clear.

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.