Senior Data Engineer - Snowflake - £110,000 - London - Hybrid

City of London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Snowflake - £110,000 (+10% Bonus) - London - Hybrid

Company Overview:

My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well-being and happiness of their employees through very flexible hybrid working patterns, as well as other amazing benefits, and a great company culture - over 4 out of 5 employees would recommend working here.

Role Overview:

As a Senior Data Engineer you'll be responsible for building and deploying full solutions from scratch, while maintaining security and data best practices. Duties will include product-based work as well as migration tasks. Due to your seniority you will also be tasked with mentoring junior engineers. You will be joining a close-knit team of 6 Data Engineers, as well as 30 Engineers in the businesses data arm.

Requirements:

3+ Years data engineering experience
Snowflake experience
Proficiency across an AWS tech stack
DBT Expertise
Terraform Experience

Nice to Have:

Data Modelling
Data Vault
Apache Airflow

Benefits:

Up to 10% Bonus
Up to 14% Pensions Contribution
29 Days Annual Leave + Bank Holidays
Free Company Shares

Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance.

Contact me @ (url removed) or on (phone number removed).

Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end

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.

Products

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.

Jobs

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.

Careers

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.

🍪 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.