At a Glance
- Tasks: Join our Data Team to build scalable systems and optimise data platforms for 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 on sports fans while mentoring junior engineers and driving innovation.
- Qualifications: Expertise in Python, Java, or Scala, with experience in cloud data services and real-time processing.
The predicted salary is between 28800 - 43200 £ per year.
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.
Responsibilities
- Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time AI/ML 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.
- Identify and resolve performance bottlenecks within our data systems to improve reliability and cost-effectiveness.
- Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms.
- Implement advanced observability practices, including monitoring and alerting, to ensure high system reliability and minimal downtime.
- Champion stringent data quality and validation practices throughout the entire software development lifecycle.
- Drive the implementation of strategic enhancements that improve overall system performance and efficiency.
Qualifications
- 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).
- 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.
About LiveScore Group
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!
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 in City of Westminster employer: Livescore Group Limited
At LiveScore Group, we pride ourselves on being an exceptional employer, offering a unique 4-day work week that enhances work-life balance while maintaining full salary. Our vibrant work culture fosters innovation and collaboration, providing ample opportunities for professional growth through mentorship and cross-functional teamwork. With benefits like private healthcare, enhanced family leave, and regular social events, we create an inclusive environment where every employee can thrive and contribute to our mission of delivering outstanding experiences to sports fans.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at LiveScore Group on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python, Java, or Scala skills, and be ready to discuss real-time AI/ML data processing. Practising coding challenges can help you feel more confident when it’s time to shine.
✨Tip Number 3
Show off your problem-solving skills! During interviews, share specific examples of how you've tackled performance bottlenecks or optimised data systems in the past. This will demonstrate your proactive approach and expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the LiveScore Group family!
We think you need these skills to ace Data Engineer in City of Westminster
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data engineering and sports shine through. We want to see how your passion aligns with our mission at LiveScore Group!
Tailor Your CV:Make sure to customise your CV to highlight relevant experience that matches the job description. Focus on your skills in AI/ML data processing and cloud technologies, as these are key for us.
Be Clear and Concise:We appreciate clarity! Use straightforward language to explain your technical expertise and past projects. This helps us understand your thought process and how you tackle challenges.
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 this exciting opportunity.
How to prepare for a job interview at Livescore Group Limited
✨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 for AI/ML data processing and be prepared to explain complex technical concepts clearly.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved performance bottlenecks in data systems. Highlight your proactive approach to problem-solving and how it has improved system reliability and efficiency.
✨Understand the Business Needs
Familiarise yourself with how data solutions can translate intricate business needs into effective strategies. Be ready to discuss past experiences where you partnered with cross-functional teams to deliver innovative data solutions.
✨Emphasise Mentorship and Teamwork
Since mentoring junior engineers is part of the role, think about how you've supported others in your previous positions. Share specific instances where you provided guidance and fostered a culture of continuous learning within your team.
