Senior Data Engineer

21 октября 2026 г.

Гибрид

Senior

London, United Kingdom

Indeed

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Обязательное посещение офиса
3 дня в неделю

Описание

LiveScore Group is hiring a Senior Data Engineer for its Data Team in Soho, London, on a hybrid schedule of three office days a week. The role combines hands-on data engineering with technical leadership: owning the architecture of business-critical data solutions and optimising the platform for real-time AI/ML workloads. The engineer leads pipeline delivery on GCP, sets data-modelling and governance standards, and mentors other engineers while working with cross-functional stakeholders. The company operates the LiveScore, LiveScore Bet and Virgin Bet brands in sports media and sports betting.

Обязанности

Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage
Integrate data from various sources, ensure data quality and enable real-time processing capabilities
Own the design of data models and databases supporting business analytics and intelligence using dimensional data-modelling principles
Select and use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability
Lead the automation of data workflows and the optimisation of data storage and processing costs within GCP
Use Cloud Composer for orchestration and establish best practices in performance tuning
Ensure data security by implementing GCP security practices, managing access controls and complying with data-governance policies
Work closely with data engineers, business analysts and IT teams to define data requirements and deliver data solutions
Provide technical leadership and guidance to team members
Evaluate new GCP features and data-engineering technologies and set technical direction for the infrastructure
Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and preventative improvements
Lead critical system-design and architectural decisions for scalable batch and real-time workloads
Partner with cross-functional teams to translate complex or ambiguous business needs into effective data solutions
Mentor engineers, review technical designs and foster a culture of continuous learning and engineering excellence
Own improvements to the reliability, performance and cost-effectiveness of data systems
Lead the design and maintenance of secure integrations with core internal systems and critical third-party platforms
Define monitoring and alerting standards to ensure high system reliability and minimal downtime

Требования

Significant experience in data engineering or data warehousing with large-scale, complex datasets
Advanced SQL and Python skills, including appropriate use of AI-assisted development tools
Strong knowledge of data-modelling techniques, including dimensional data modelling
Deep experience with cloud data services, ideally within the GCP ecosystem: Dataflow, Pub/Sub, BigQuery or Vertex AI
Proven experience designing and implementing robust ELT pipelines for real-time and large-scale batch processing
Proven ability to deploy and maintain data infrastructure using Infrastructure as Code tools such as Terraform
Experience with Airflow environment management and Docker
Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for the development lifecycle
Ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders
Demonstrable experience applying data-governance, privacy and security best practices in a regulated environment
Proactive and curious approach with the ability to anticipate and resolve system inefficiencies
Ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions
Track record of end-to-end ownership for the quality, reliability and performance of business-critical data solutions
Experience mentoring engineers and influencing technical standards across a team

Условия

Hybrid working with three days per week in the Soho, London office, Tuesday to Thursday
Company performance bonus
Flexible working agreements where applicable
Private healthcare scheme plus employee enhanced assistance
Enhanced family 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 and Ride to Work scheme
Life assurance at three times salary
Contributory pension plan
Access to exclusive Virgin offers and experiences

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