Wall Street Football vision is to lead the data-centric and tech-centric revolution that will disrupt every aspect of sports. We build technologies that valorise sports data in order to connect all sports related services from media and sport analytics, to fan engagement and sport betting.
Wall Street Football is operating in different industries through a plurality of product teams that work synergically. The current opening is for our new Sport Analytics team, building products to support Multi Club Ownership and Football Clubs in the introduction of a new data-drive way to manage the club and the scouting of football players.
What are we looking for
We are looking for a talented and experienced Data Engineer with strong DevOps skills to join our team and help us build the foundations of a brand-new data infrastructure.
You will collaborate with data scientists, analysts, and other stakeholders to understand data requirements and build a data infrastructure that is scalable, performant and easily accessible.
This is a remote working opportunity.
Key Responsibilities
– Design, implement, and maintain a scalable and robust data architecture.
– Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
– Ensure data integrity, reliability, and performance in data processing workflows.
– Implement data partitioning, indexing, and other optimization techniques.
– Integrate and normalize data from various sources such as external APIs and third-party data providers.
Key Qualifications
Must have
– 5+ years of proven experience in data engineering, ETL processes, and database management.
– Experience with development in Python and Bash scripting.
– Working experience with ETL orchestration tools such (eg. Prefect, Airflow)
– Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
– Familiarity with Infrastructure as Code (IaC) practices and tools (eg.: Terraform)
– Familiarity with cloud-based services (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure.
– Working experience with data warehouse and data lake solutions (eg. AWS RedShift, AWS S3)
Nice to have
– Familiarity with integrating sport data providers such as Wyscout, Opta and StatsBomb.
– Familiarity with web scraping techniques.
– Exposure to agile development methodologies.
– NoSQL database experience (MongoDB preferred)
– Passion about sports and game analytics
To apply send your CV at : info@wallstreetfootball.io
