Snowflake Data Engineer

Leeds
1 week ago
Create job alert

I'm looking for a Data Engineer with Snowflake experience to join a global business who are embarking on a greenfield project to build a brand-new Snowflake Data Warehouse. They are building a modern, AI-ready data platform, which allows for better decision-making for both themselves and their customers, with a tech stack including Snowflake, dbt, Microsoft Azure and Power BI.

You'll join their newly established Data Team, based in their modern office space in Leeds - you'll spend at least 3 days per week in the office to collaborate with your team, in what's a very fast-paced, forward-thinking and entrepreneurial environment.

The purpose of this role is to build and maintain the data architecture that supports various business intelligence initiatives. This will include designing and managing Snowflake data pipelines, ensuring data flows seamlessly from multiple sources into the data platform. You'll also work with Data Analysts to support their data needs and optimise semantic models for Snowflake-based reporting and analytics.

More generally, you'll implement governance policies and ensure data security across the Snowflake platform, and will also maintain the performance of systems to ensure scalability and reliability.

This role would be well-suited to an experienced Data Engineer or Developer who is excited by the prospect of building something from the ground-up using cutting-edge technologies!

Requirements:

Hands-on experience with Snowflake, including building and maintaining data pipelines and data models
Experience working with both structured and unstructured data sets in Snowflake
Knowledge of data governance, security and best-practice for Snowflake
Experience working in an Azure environment
Certifications in Snowflake and Power BI are advantageous but not essential
Excellent communication and ability to engage with stakeholders at all levelsBenefits:

Salary up to £120,000 depending on level of experience - able to consider candidates at different levels of seniority
Discretionary bonus
Pension with 4% employer contribution
25 days annual leave (increasing with service) plus bank holidays
Holiday purchase scheme
Electric or hybrid car scheme

Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group (and Nigel Frank) are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Related Jobs

View all jobs

Snowflake Data Engineer

Lead Snowflake Data Engineer

Data Engineering Lead

Data Engineering Lead

Data Engineer / Analytics Engineer

Ingeniero/A Junior - Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!