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Junior Data Engineer
Tottenham Hotspur
Tottenham Hotspur is a world-famous football club based in London. On the pitch, the Club competes in the upper echelons of the English Premier League and is a regular participant in marque UEFA club competitions.
Job Posted- 2 Sep 2025
Status- Full Time
Location- England
Closing date- 8 Sep 2025
The Role
The Football Insights Department provides data-derived insights that impact decision-making across football departments, from the First Team to the Academy and including both Men's and Women's teams. Our mission is ensuring that critical processes, from player recruitment to performance optimisation, are consistently informed by thorough, high-quality information. With a focus on building a single source of truth, developing rigorous quantitative models, and delivering effective tools for interrogating data, our intention is to empower stakeholders with insightful statistical analyses that are both timely and actionable. Leveraging data as our fundamental commodity and powered by talent, we are looking to push the cutting edge of football analytics to drive the club towards its ambitious footballing vision.
As a Junior Data Engineer, you will play a key role in supporting the club's Football Insights development and maintaining data infrastructure. Your focus will be on:
- Developing, optimising, and managing data pipelines to ensure efficient processing of large-scale football datasets.
- Ensuring data availability and integrity for performance analysis, scouting, and recruitment.
- Working with modern cloud-based technologies to enhance data processing efficiency and scalability.
- Collaborating with analysts, data scientists, and data engineers to support the deployment of analytics solutions.
Key Responsibilities
Data Engineering & Infrastructure Development:
- Build, maintain, and optimise ETL/ELT pipelines for ingesting and processing large datasets from multiple sources.
- Ensure efficient and reliable data storage using cloud-based solutions.
- Manage and organise structured and unstructured data to support analytics needs.
- Monitor and troubleshoot data pipelines to maintain system reliability and efficiency.
Data Integration & Processing:
- Work with cloud-based data platforms to manage and transform football-related datasets.
- Optimise SQL queries for performance and scalability when handling large datasets.
- Automate data workflows to improve efficiency and reduce manual intervention.
- Ensure data consistency, accuracy, and security in all processing activities.
Collaboration & Support:
- Work closely with data scientists and analysts to ensure smooth data access and usability.
- Support the deployment of analytical models and reports, ensuring seamless data integration.
- Collaborate with software engineers to improve data infrastructure and deployment processes.
- Assist in documentation and knowledge sharing within the data team.
Continuous Learning & Development:
- Stay up to date with best practices in cloud data engineering, database management, and big data technologies.
- Learn and implement new tools and techniques to enhance data processing workflows.
- Engage with the football analytics community to understand evolving data needs and technologies.
About You
Person Specification
- We are looking for a detail-oriented and proactive individual with a strong technical background and a passion for working with large-scale data systems. Key criteria:
- Analytical thinker who enjoys problem-solving.
- Detail-oriented with a strong sense of ownership.
- Collaborates well with others and communicates effectively.
- Works efficiently in a fast-paced, high-performance environment.
What you will bring
Skills & Experience
Education & Background
- Bachelor’s or Master’s degree in Computer Science or related technical field.
- Experience in data engineering, database management, or related field.
Technical Skills
- Strong SQL skills for data transformation, query optimisation, and managing relational databases.
- Proficiency in Python for data processing and automation.
- Experience with ETL architecture and development in a cloud-based environment.
- Experience with reporting platforms, including modelling data in support of reporting and analysis.
- Familiarity with APIs, version control (Git) and CI/CD practices for deploying data workflows.
What Sets This Role Apart?
- Work with cutting-edge cloud technologies in a high-performance sports environment.
- Gain hands-on experience in building and optimising large-scale football data pipelines.
- Be part of a growing data team, shaping the future of football analytics infrastructure.
How to Apply
Please click “Apply Now” to begin your application.