Lead Data Engineer
Summary
A senior/lead data engineer at LiveScore (London) who gives technical leadership and hands-on delivery of scalable, real-time ETL/ELT pipelines for a high-volume sports data platform, mentors two engineers, and optimizes cost and performance using cloud platforms (AWS/GCP/Azure), languages like Python/Scala/Java, and databases such as Snowflake, BigQuery and PostgreSQL.
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.
Pay / Benefits- 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