Data Engineer

High Wycombe
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer
Based: Offices in High Wycombe with hybrid / remote options
Term: Full time, permanent
Salary: £50000 - £60000 pa + excellent benefits
Focusrite Group are looking for an experienced Data Engineer with strong SQL and analytical skills to join our Business Intelligence team, to help us better understand and support our customers. You'll be part business analyst, part engineer; working with teams across the group to present their data in ways that make it useful, accurate and timely.
We model data in Snowflake using dbt, making use of Power BI for most (but not all) of our presentation. Code is managed in GitHub using a continuous integration model, with all changes going through peer review within the team. We support a network of "power users" across the business, helping them to turn their domain expertise into high quality reporting by ensuring they have the data, training and tools they need.
Primary activities:

  • Working with data owners, power users and other stakeholders across the group to understand their data and reporting practices and needs
  • Defining and implementing data transformation and presentation to deliver on those needs
  • Identifying opportunities to standardise and re-use models and patterns for a consistent approach
  • Implementing testing and documentation at each step of the transformation pipeline to ensure quality
  • Collaborating with the team to design and review new projects, and maintain existing code
    Focusrite Group makes extensive use of a wide variety of data sources to meet various goals, such as operational improvement and regulatory reporting. These include ERP transactions, product registrations, inventory and bill-of-materials information, sustainability metrics, marketing analytics and many more. Ensuring consistent modelling of these sources from our eight brands and multiple regional business units is challenging from a reporting perspective alone, but increasingly overlaps with operational activities as well. For example, we are working towards a Master Data Management (MDM) approach to unify product data, which will require engagement across all brands.
    You'll be:
  • Comfortable working with business users, both technical and nontechnical, to understand complex data sources and workflows
  • Experienced in SQL, ideally using dbt to manage your code
  • Familiar with reporting tools, and more importantly with the ways users engage with them
  • Aware of typical processes in a consumer products company - CRM, inventory management, customer data management etc.
  • Creative and curious, with an eye for detail
    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, our 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 a number of established and rapidly growing brands: Focusrite, Focusrite Pro, Novation, ADAM Audio, Sequential, Oberheim, Martin Audio, Optimal Audio, Ampify Music, Linea Research, Sonnox, OutBoard and TiMax. 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 six Queen's Awards, the AIM Company of the Year Award 2021 and regular appearances in 'The Sunday Times 100 Best Small Companies to Work For'.
    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, safe and positively represented, because at Focusrite they truly are. 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, health cash plan, enhanced Maternity and Paternity pay, employee purchase scheme, group bonus scheme, company music events, offsite company parties and free lunch in the canteen. 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.

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.