Data Engineer

• Architect, design, build, test, and maintain 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 to enable end-to-end data workflows
• Own the architecture and maintenance of a GCP-based data lake/lakehouse environment, JOB TITLE: Head of Business Data (12 Month FTC) Check below to see if you have what is needed for this opportunity, and if so, make an application asap. LOCATION: Stamford Bridge Closing date: 28th August We encourage you to apply as soon as possible. In the event that..., Associate Project Manager, Digital Transformation Stratt is a consultancy firm specialising in sustainably responsible, enterprise digital transformation. We partner with executive teams from some of the world's most recognisable brands to design, build and manage...

• 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 using Google Cloud Dataflow (Apache Beam) or similar tools
• 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
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