Senior Data Engineer

As a Senior Data Engineer at LiveScore Group, you will lead the design and delivery of scalable data pipelines and architectures that power our data strategy. You’ll drive real-time AI/ML workloads, optimise data platforms, and mentor engineers to raise technical standards. The role sits at the intersection of data engineering, governance, and cross‑functional collaboration to deliver high‑quality data solutions for business analytics. You will shape data infrastructure decisions, instrumentation, and security to support millions of fans and our sports betting ecosystems. This is a high‑impact opportunity to lead critical data initiatives and accelerate our data-driven decision making.

• Company Performance Bonus
• Private Healthcare Scheme
• Enhanced Family Leave
• Paternity leave
• Subsidised Gym Membership
• Contributory Pension Plan

• Lead the design and delivery of robust data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage) to enable real-time processing and data integration
• Own data models and databases for analytics using dimensional modelling principles; select GCP databases (Bigtable, Spanner, Firestore) for performance and scalability
• Automate data workflows and optimise storage/processing costs with GCP tools (Cloud Composer); implement performance tuning best practices
• Ensure data security and governance, manage access controls, and safeguard sensitive information
• Collaborate with data engineers, business analysts, and IT teams to translate requirements into data solutions; provide technical leadership and mentoring
• Evaluate new GCP features and data-engineering technologies to enhance infrastructure or enable new data products
• Lead resolution of critical pipeline failures and data-quality incidents with proactive improvements
• Oversee architectural decisions for scalable batch and real-time workloads; drive cross-functional partnerships to meet complex business needs
• Mentor engineers, review designs, and foster a culture of continuous learning and engineering excellence
• Improve reliability, performance, and cost-effectiveness of data systems; design robust integrations with core systems and key third-party platforms
• Define monitoring and alerting standards to ensure high system reliability and minimal downtime

• Significant experience in data engineering or data warehousing with large-scale datasets
• Advanced SQL and Python; experience with AI-assisted development tools
• Strong knowledge of data-modelling techniques
• Deep experience with GCP data services (Dataflow, Pub/Sub, BigQuery, Vertex AI)
• Proven experience with robust ELT pipelines (real-time and large-scale batch)
• Experience with Infrastructure as Code (Terraform)
• Experience with Airflow and Docker; AI tooling evaluation in development lifecycle
• Ability to explain complex concepts clearly to technical and non-technical stakeholders
• Experience applying data governance, privacy, and security in regulated environments
• Proactive, curious mindset; ability to lead cross-functional technical work and translate requirements into robust solutions
• Track record of end-to-end ownership for data solution quality, reliability, and performance
• Experience mentoring engineers and influencing technical standards

• Strong communication
• Mentoring and leadership
• Cross-functional collaboration
• GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
• Bigtable, Spanner, Firestore
• Cloud Composer