Senior Data Engineer: Real-Time Data & AI Platform Lead

Visa Hunt; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Company Performance Bonus

Flexible Working Agreements

Private Healthcare Scheme + Enhanced E

Enhanced Family Leave

Subsidised Gym Membership

Annual Travel Card Loan

Life Assurance (x3 salary)

Contributory Pension Plan

Virgin Family benefits

Drinks in the office & socials

Job summary

LiveScore Group is seeking a Senior Data Engineer to lead the design and delivery of robust data pipelines on GCP, shaping our data strategy for LiveScore, LiveScore Bet and Virgin Bet. You will mentor engineers, drive real-time AI/ML workloads and own data modelling and governance.

You will partner with analytics, IT and product teams to deliver scalable, cost-efficient data solutions, maintaining data integrity and performance across the organisation.

Qualifications

• 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.

Responsibilities

• Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage.
• Own the design of data models and databases that support business analytics and intelligence, using dimensional modelling principles.
• Lead automation of data workflows and cost optimisation within GCP using Cloud Composer and performance tuning.

Skills

SQL & Python

Data modelling

GCP expertise

Leadership

Stakeholder communication

Tools

Terraform

Airflow

Docker

Vertex AI

Job description

LiveScore Group is seeking a Senior Data Engineer to lead the design and delivery of robust data pipelines on GCP, shaping our data strategy for LiveScore, LiveScore Bet and Virgin Bet. You will mentor engineers, drive real-time AI/ML workloads and own data modelling and governance.

You will partner with analytics, IT and product teams to deliver scalable, cost-efficient data solutions, maintaining data integrity and performance across the organisation.