Data Engineer

Booker
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.