Job Opportunities API

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 contribute to architectural discussions and deliver high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to develop your expertise in optimising data platforms for real-time AI/ML workloads, collaborate with experienced 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   Develop and deploy robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. Design data models and manage databases effectively to support business analytics and intelligence using dimensional data-modelling principles. Use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. Automate data workflows and optimise data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and apply best practices in performance tuning. Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. Work closely with data engineers, business analysts, and IT teams to define data requirements and deliver comprehensive data solutions.  Stay up to date with the latest GCP features and data-engineering technologies. Explore ways to enhance data infrastructure and contribute to the development of new data products. Provide second-line support for pipeline failures or data quality incidents and perform fault analysis to resolve issues.  Contribute to system-design decisions and help develop data solutions that support real-time workloads. Partner with cross-functional teams to translate business needs into effective data solutions. Design data systems that solve problems and improve reliability & cost-effectiveness.  Develop and maintain robust, secure integrations with core internal systems and third-party platforms.  Implement monitoring and alerting to ensure high system reliability and minimal downtime.  Skills, Knowledge and Experience   Experience in data engineering or data warehousing with large-scale, complex datasets. Experience writing complex SQL queries. Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions.  Experience with cloud data services and technol