L
Senior Data Engineer
Contract type
Ongoing
Work mode
Remote · United Kingdom
Experience
Senior · Not stated
Level inferred from job title
Job description
A Senior Data Engineer role at LiveScore9's Data Team, leading the design and delivery of scalable, business-critical data pipelines and platforms on GCP for real-time AI/ML workloads. The role combines hands-on data engineering with technical leadership, mentoring and cross-team collaboration.
At a glance
- Work mode
- Remote · United Kingdom
What you'll do
- Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage, integrating data from various sources, ensuring data quality and enabling real-time processing capabilities.
- Own the design of data models and databases that support 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 optimisation of data storage and processing costs within GCP, using tools such as Cloud Composer for orchestration and establishing best practices in performance tuning.
- Ensure data security by implementing GCP security practices, managing access controls, complying with data-governance policies and safeguarding sensitive information.
- Work closely with data engineers, business analysts and IT teams to define data requirements and deliver comprehensive data solutions; provide technical leadership and guidance to team members.
- Evaluate new GCP features and data-engineering technologies, setting technical direction where they can enhance data infrastructure or enable new data products.
- Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and ensuring preventative improvements are implemented.
- 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 and innovative 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 robust, secure integrations with core internal systems and critical third-party platforms.
- Define appropriate monitoring and alerting standards to ensure high system reliability and minimal downtime.
What we're looking for
- Significant experience in data engineering or data warehousing with large-scale, complex datasets.
- Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately.
- Strong knowledge of data-modelling techniques.
- Deep experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI.
- Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing.
- Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and 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 use within the development lifecycle.
- The 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.
- A proactive and curious approach, with the ability to anticipate and resolve system inefficiencies.
- The ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions.
- A track record of taking 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.
Your team
Data Team
Benefits
Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Subsidised Gym Membership
- Annual Travel Card Loan & Ride to Work Scheme
- Life Assurance (x3 salary)
- Contributory Pension Plan
- Virgin Family: Giving you access to exclusive Virgin offers and experiences
- Thursday drinks in the office and regular socials
Apply
Direct apply at Livescore9
Opens the job posting at Livescore9
About LiveScore9
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 don't just lead; we innovate, with cutting-edge products and immersive experiences.
Key facts
- Sports media and sports betting
- Home of LiveScore, LiveScore Bet and Virgin Bet
- Converges sports media and sports betting
What they value
- Adaptability
- Teamwork
- A fan-driven approach
- An ever-curious mindset