Data Engineer

livescore9· Technology
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📍 London, England, United Kingdom

About this role

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

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? 

  • 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

Frequently Asked Questions

Is the salary disclosed for the Data Engineer position at livescore9?
The salary for this Data Engineer role at livescore9 is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer position at livescore9 located?
This Data Engineer role at livescore9 is based in London, England, United Kingdom. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Engineer at livescore9 belong to?
This Data Engineer position is part of the Technology department at livescore9. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer position at livescore9?
Click the "Apply Now" button on this page. You will be redirected to livescore9's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Engineer job at livescore9 posted?
This Data Engineer position at livescore9 was posted on May 19, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer
livescore9
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