Lead Data Engineer

As a Senior Data Engineer at LiveScore, you will provide technical leadership and hands-on contribution to build scalable data pipelines for a high-volume, real-time sports data platform. You will guide two engineers, shaping delivery and technical direction within a fast-growing, fan-driven business. The role focuses on end-to-end data solutions, from ingestion to analytics-ready models, while optimizing cost and performance. You will work closely with data architects and product stakeholders to deliver impactful data capabilities that support LiveScore’s strategic goals.

• Company Performance Bonus
• Flexible Working Arrangements
• Private Healthcare Scheme
• Enhanced Family Leave (maternity, parental, adoption)
• Paternity leave up to 4 weeks
• Subsidised Gym Membership/Travel support/Ride to Work scheme

• Technical leadership as a primary point of contact for data projects
• End-to-end design, development, testing and deployment of scalable data pipelines and ETL/ELT processes
• Translate architectural blueprints into concrete data components
• Coach and develop junior and mid-level data engineers
• Hands-on coding, data modeling, IaC development, and platform configuration
• Ensure data quality, integrity and performance with monitoring and optimization
• Identify and implement cost optimizations for data processing and storage
• Lead and participate in code reviews and enforce best practices
• Diagnose and resolve complex data issues and performance bottlenecks
• Collaborate with other engineering teams, product managers, data scientists and stakeholders

• Advanced Data Pipeline Expertise with experience in large-scale pipelines
• Enterprise Data Warehousing and Data Modeling knowledge
• Cloud Data Platforms experience on at least one major cloud provider (AWS, GCP, or Azure)
• Cost Optimization capabilities in data environments
• Software Engineering fundamentals (Agile/Scrum, Git, CI/CD, testing)
• Proficiency in programming languages (Python, Scala, Java, JavaScript, etc.)
• Experience with relational, NoSQL and analytical databases (PostgreSQL, MySQL, MongoDB, Cassandra, Snowflake, Redshift, BigQuery)
• Strong understanding of data architecture patterns (Data Mesh, Data Lakehouse, Lambda/Kappa)
• Regulatory reporting in gaming or regulated industries
• AI awareness and ability to leverage AI prompting
• Technical leadership and mentorship abilities

• Leadership and mentorship
• Cross-functional collaboration
• Problem solving under pressure
• Python, Scala, Java, or similar
• ETL/ELT design and implementation
• Data modeling and data warehousing