Data Engineer

Booker
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data engineer

Data Engineer

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.