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- Tasks: Build scalable data systems and mentor junior engineers in a dynamic environment.
- Company: Join LiveScore Group, a leader in sports media and betting innovation.
- Benefits: Enjoy a 4-day work week, flexible working, and a range of health and wellness perks.
- Other info: Collaborative culture with opportunities for growth and exciting team socials.
- Why this job: Make a real impact on sports fans while working with cutting-edge AI/ML technologies.
- Qualifications: Expertise in programming languages like Python or Java and experience with cloud data services.
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.
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.
- 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.
- 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 in London employer: LiveScore Group
Contact Detail:
LiveScore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at LiveScore Group on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in data engineering, especially with AI/ML workloads. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and system design principles. Use mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at LiveScore Group.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to work with us and contribute to our data strategy.
Tailor Your CV: Make sure to customise your CV to highlight relevant experience that aligns with the job description. We love seeing how your skills can directly impact our team and the exciting projects we’re working on.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to explain your technical skills and experiences in a way that’s easy for us to understand, even if we’re not deep into the techy details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 AI/ML data processing and be prepared to explain complex concepts clearly to both technical and non-technical folks.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled system inefficiencies in the past. Think about specific challenges you've faced with data infrastructure and how you applied Infrastructure as Code principles using tools like Terraform to solve them.
✨Understand Their Business
Familiarise yourself with LiveScore Group and their brands. Knowing how they integrate sports media and betting can help you tailor your answers to show how your skills can directly impact their data strategy and enhance user experiences.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare to discuss how you foster a culture of continuous learning and how you can contribute to the team's growth.