Data Engineer

Are you an experienced Data Engineer looking for your next big challenge?

Do you have a passion for football?

Why not bring the two together?

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Engineer, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence.

In this role, you’ll design and develop scalable data pipelines and infrastructure that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement.

If you're passionate about using advanced data engineering to drive real-world impact in sport, this is the role for you.

Key Responsibilities

• Architect, design and build scalable and high-performance data pipelines
• Ensure all systems adhere to best practices for data quality, integrity, and security
• Integrate modern data engineering tools and technologies into cloud-native infrastructure
• Develop tools and solutions to support sports data modeling, analytics, and predictive insights
• Collaborate with data scientists, analysts, and performance experts to enable end-to-end data workflows
• Own the architecture and maintenance of a GCP-based data lake/lakehouse environment

Your Background

• 4+ years of industry experience in Data Engineering roles
• Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins)
• Hands-on experience designing and deploying ETL/ELT pipelines
• Proficiency in data architecture, data modeling, and scalable storage design
• Solid engineering practices: Git and CI/CD for data systems

Highly Desirable Skills

• GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines.
• Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video )
• API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine)
• Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale
• DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows

What They Offer

• A chance to work on real-world data that impacts elite football performance
• Access to high-value datasets , sports science teams, and cross-disciplinary experts
• A flexible hybrid working model (1 day per week in the London office)
• The opportunity to grow within a digital-first team at a world-renowned football club
• The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch