Snowflake Data Engineer

Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Snowflake Cortex (Contract)

Data Engineer

Urgent | Contract Senior Data Engineer - Azure + Databricks + Snowflake

Senior Data Engineer

Lead Data Engineer (AWS & Snowflake)

Senior Data Engineer

My client is based in the Leeds area are currently looking to recruit for an experienced Data Engineer to join their Data & AI Consulting team. They are a specialist Tech organisation, that are at the forefront of engineering practices. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They only recruit the "best" talent and have a diverse workforce.

Key Responsibilities:

Design, build, and manage data pipelines in Snowflake, ensuring seamless data flow from diverse sources into the data platform.

Collaborate with business stakeholders and data analysts to gather data requirements and deliver effective solutions.

Integrate structured and unstructured data sources into Snowflake, optimising data models for analytics and reporting.

Support data analysts by optimising semantic models and ensuring data readiness for Snowflake-based reporting and analytics.

Implement and enforce data governance policies, maintaining data security and compliance within the Snowflake environment.

Monitor system performance and ensure data platforms are scalable, reliable, and efficient.

Requirements:

Demonstrated experience in Snowflake, including developing and managing data pipelines and data models.

Strong knowledge of cloud-based data integration, transformation, and storage.

Hands-on experience working with both structured and unstructured data in Snowflake.

Familiarity with data governance, security best practices, and Snowflake optimisation techniques.

Proven ability to work collaboratively with analysts and business users to deliver data-driven solutions.

Strong problem-solving skills and a deep understanding of cloud-based data ecosystems.

Preferred Qualifications:

Experience with other cloud data platforms and analytics tools.

Proven track record of analysing retail and manufacturing metrics, such as sales trends, production efficiency, and supply chain KPIs.

Strong project management capabilities and experience with agile methodologies.

This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence.

TRG's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

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.