Data Engineer

CV-Library
Booker, Buckinghamshire
12 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Relation Therapeutics London, United Kingdom
Permanent

Data Engineer, Strategic Account Services

Amazon London, United Kingdom
Permanent

Data Engineer - Security Products, Monitored Access

Amazon London, United Kingdom
£40,000 – £60,000 pa On-site

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Simulation Data Engineer

PhysicsX London, United Kingdom
Posted
2 May 2025 (12 months ago)

Data Engineer
Term: Full-time, Permanent
Location: High Wycombe with hybrid remote working available
Salary: £50000 - £65000 pa depending on experience + excellent benefits
Focusrite are looking for an experienced data engineer to join our business intelligence team. You'll help us build and maintain a robust yet flexible data stack, delivering high quality information where it's needed (and keeping it secure where it's not!).
We make extensive use of SQL, dbt, Snowflake and Power BI, as well as various other tools. We work closely together using pair programming, peer review and DevOps practices. We relish the chance to learn new things, independently and from each other.
We are looking for someone who:

  • Is an SQL expert, able to quickly identify data issues with a pithy query.
  • Has opinions about permissions, schemas, APIs and models, and can share them collaboratively.
  • Knows how to structure, profile and monitor a data warehouse, and what to watch out for.
  • Is familiar with visualising data and delivery tools such as Power BI.
  • Has an interest in analysis and modelling as well as infrastructure.
    You don't mind doing the mundane stuff, because you set everything up to make the mundane stuff, well, mundane (and therefore easy and low risk). That leaves time build new data marts for our stakeholders, identify data pipelines to be improved and be a stickler for adhering to privacy regulations.
    Do you:
  • Have a knack for extracting requirements from big picture stakeholders?
  • Know who Inmon and Kimball are?
  • Have a background in economics, statistics or computing?
  • Enjoy helping people get the most from data?
  • Go on occasional nerdy tangents?
    If so, and if you've built a data stack that your colleagues trusted and depended on, we'd love to hear from you!
    About Us
    Focusrite plc is a global music and audio group that develops and markets music technology products. Used by audio professionals and amateur musicians alike, its solutions facilitate the high-quality production of recorded and live sound. Our audio technology brands stand together, seeking to enrich lives through music by removing barriers to creativity - ‘we make music easy to make'.
    The Focusrite Group trades under nine established and rapidly growing brands: Focusrite, Focusrite Pro, Novation, ADAM Audio, Sequential, Martin Audio, Optimal Audio, Linea Research and Ampify Music. With a high-quality reputation and a rich heritage spanning decades, its brands are category leaders in the music-making industry.
    Music technology is an enriching space to work in and we enjoy a Group-wide open-door culture which encourages innovation. This culture, combined with a passion for the inspirational solutions we create, has led to the group winning numerous accolades, including three Queen's Awards for Enterprise and the AIM Company of the Year Award 2021.
    The Focusrite Group is dedicated to building a great place to work and as an equal opportunity employer we are committed to Diversity and Inclusion. The group mission is to cultivate an equitable culture, internally and externally, where all people feel they are welcome and positively represented, whether office-based or working remotely. Equally, we recognise the major impact that climate change is having on our world and work every day towards being industry leaders in a carbon neutral future.
    Benefits include flexible/hybrid working, company pension, life insurance, private healthcare, employee purchase scheme, company music events, free breakfast/lunch in the canteen at Focusrite HQ. We arrange company training sessions and encourage personal development

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.