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For Companies At a Glance
- Tasks: Join our Data Team to build scalable systems and optimise data platforms for real-time AI/ML workloads.
- Company: LiveScore Group, a leader in sports media and gaming innovation.
- Benefits: Enjoy a 4-day work week, flexible working, private healthcare, and generous family leave.
- Other info: Dynamic culture with a focus on teamwork, adaptability, and continuous learning.
- Why this job: Make a real impact in sports while mentoring junior engineers and shaping data solutions.
- Qualifications: Expertise in Python, Java, or Scala; experience with cloud data services and real-time processing.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Soho, London. Monday to Thursday in the office with Fridays off (full salary maintained) - this new 4-day work week is a trial, to be reviewed in 2026.
The Role
We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business.
At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting‑edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan‑driven approach, and an ever‑curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!
Key Responsibilities
- Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
- Partner with cross‑functional teams to translate intricate business needs into effective and innovative data solutions.
- Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
- Design data systems to solve problems and improve reliability & cost‑effectiveness.
- Develop and maintain robust, secure integrations with core internal systems and critical third‑party platforms.
- Implement advanced monitoring and alerting to ensure high system reliability and minimal downtime.
Skills, Knowledge And Experience
- You have expert‑level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
- You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
- Experience with Airflow environment management and Docker.
- You can clearly and concisely explain intricate technical concepts to both technical and non‑technical stakeholders.
- You have extensive experience designing and optimising both real‑time and large‑scale batch data processing frameworks.
- You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
- You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
- You are a proactive and curious problem‑solver, skilled in anticipating and resolving system inefficiencies.
- You work seamlessly with cross‑functional teams, translating complex requirements into robust data solutions.
- You take full responsibility for the quality, reliability, and performance of the data solutions you help create.
What can we offer?
- Fridays Off: Say goodbye to Friday meetings and hello to a three‑day weekend! This benefit is part of a trial, to be reviewed in 2026.
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Enhanced Family Leave – Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay.
- Subsidised Gym Membership
- Annual Travel Card Loan & Ride to Work Scheme
- Life Assurance (x3 salary)
- Contributory Pension Plan
- Virgin Family: Giving you access to exclusive Virgin offers and experiences
- Thursday drinks in the office and regular socials
Data Engineer employer: LiveScore Group
Contact Detail:
LiveScore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AI/ML data processing. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both techies and non-techies alike.
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows you're genuinely interested and helps us keep track of your application. Plus, we love seeing passionate candidates like you!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how your passion for data engineering aligns with our mission at LiveScore Group. Don’t just list your skills; tell us why you love what you do!
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description. We’re looking for specific examples of how you’ve tackled challenges in data systems, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, especially when it comes to complex technical concepts. Use simple language to explain your experience and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at LiveScore Group!
How to prepare for a job interview at LiveScore Group
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, Java, or Scala. Be ready to discuss how you've used these languages in real-time data processing and AI/ML workloads, as this will show your technical prowess.
✨Understand the Company Culture
Familiarise yourself with LiveScore Group's values like adaptability and teamwork. Think of examples from your past experiences that demonstrate how you embody these traits, as cultural fit is just as important as technical skills.
✨Prepare for Architectural Discussions
Since you'll be involved in critical system design decisions, be prepared to discuss your approach to architecting data solutions. Bring examples of past projects where you’ve successfully designed scalable systems, and be ready to explain your thought process.
✨Show Your Mentorship Skills
As a Data Engineer, mentoring junior engineers is part of the role. Think about times you've guided others or fostered a learning environment. Highlight your ability to communicate complex concepts clearly to both technical and non-technical team members.