National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Engineer

Maxwell Bond
Bristol
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer, Consulting

Principal Data Engineer, Consulting

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

BI/Reporting/ Datawarehouse

Sports and Analytics Sector

Location: Remote (UK Based Candidates Only)


Could your expertise help discover the next Lionel Messi, LeBron James or Lewis Hamilton? Maybe give your team a competitive edge to finally win the title?


We have an exceptional opportunity for a Principal Data Engineer specialising in Business Intelligence, Data, and Reporting to join a leading global data analytics company. This organization is at the forefront of using innovative software and intelligence tools to enhance athlete performance and identify the next stars in their respective sports.


As the company embarks on a significant re-architecture of its Data Warehouse, they are looking for a talented Senior Engineer to help drive this transformation.


The data and reporting platforms you develop will play a crucial role in influencing the performance and decision-making of major teams in sports such as American football, soccer, NBA, Formula 1, and Olympic events.


Key Responsibilities:


  • Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery)
  • Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more.
  • Implement strong coding principles, including CI/CD, TDD, and maintain high-quality code standards.
  • Bring a deep passion for data and a track record of building data warehouses from the ground up.


What’s in it for You?


  • Competitive salary of up to £100k
  • Equity options
  • Annual bonus
  • Private healthcare
  • Fully remote work
  • Exciting perks, including tickets to events and team-building away days! (Yes, there is literally an option where you can get tickets for El Classico, Monza, and other events!)


This is an incredible chance for a collaborative Senior or Principal Engineer to contribute to applications that are utilised by your favourite teams and revolutionise how data is leveraged in sports. Don’t miss out on this opportunity to make a meaningful impact!


Apply Now!

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.