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

Apply Now

Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k

City of London
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Snowflake, DBT, Airflow - London - Up to £100k

I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client are globally renowned for being a leader within their relative field. Whilst they are a very well recognised house hold brand, they are also known within the tech community for embracing technology and using it to drive forward strategic decision making.
As a company, they are listed in the top 10 for top 100 companies to work for and equally, they are extremely proud of their people first culture. They invest heavily into each employee across the business through development plans and unparalleled progression opportunities but also, they enable tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market.

This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being in the trenches of engineering & Development. This is a hands on role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place.

This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits. This includes a bonus but also a pension scheme that pays up to 14%! As previously mentioned, they have great career development plans as well as access to industry leading training.
Finally, they recognise that work life balance is extremely important and that a happy employee means higher productivity! So they offer very flexible working arrangements through both WFH options and flexi working hours.

Experience required...

Expert in Snowflake
Strong DBT experience
Strong Airflow experience
Expert knowledge and understanding of Data Warehousing
Strong AWS experienceThis is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to (url removed) or alternatively, give me a call on (phone number removed).

Keywords: Snowflake, DBT, SQL, Airflow, AWS, Engineer, DWH, Data Warehouse, Data Warehousing, Architecture, London

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.