Job description
Who We Are
Founded in 1882, Tottenham Hotspur is an iconic English football club, playing in the Premier League and Women’s Super League. From North London to the world, our fanbase spans continents, cultures, and generations. Spurs is a club that’s always dared to push boundaries, breaking new ground and rewriting history.
We offer world-class facilities: In 2019, we opened our state-of-the-art Stadium, a £1 billion landmark that’s the beating heart of North Tottenham’s transformation. More than just a football ground, it’s an engine of change — creating 4,000 jobs and injecting £300 million into the local economy every year.
We’re at our brightest when we’re all together. Our Club, our teams, our community.
There is only one Hotspur. Tottenham Hotspur.
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.
The Tottenham Hotspur Way
Is to push harder, rise higher and forge greater. We involve, inspire and elevate one another to be our best selves, to produce exceptional on and off the pitch. Every day brings us opportunities to improve and make the impossible, possible.
Our values that bind us
DREAM THE IMPOSSSIBLE – Impossible made possible when we think outside the box
DARE TO CHANGE THE GAME – Relentlessly strive for glory and leave our mark on the world
DO IT OUR WAY – Win the right way, never at all costs.
Our Responsibility to you
Safeguarding is fundamental to the success in all that we do. Successful candidates are to be reminded they would be subject to various background, DBS, and reference checks for this role.
We welcome applications from anyone regardless of age, disability, gender, race, or ethnic and national origins, religion or belief, or sexual orientation.
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