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For Companies At a Glance
- Tasks: Develop and optimise data pipelines for large-scale football datasets.
- Company: Join the iconic Tottenham Hotspur, a leader in football innovation.
- Benefits: Gain hands-on experience with cutting-edge cloud technologies and a competitive salary.
- Why this job: Make an impact in football analytics while working in a dynamic team environment.
- Qualifications: Degree in Computer Science or related field; strong SQL and Python skills required.
- Other info: Be part of a growing data team shaping the future of football.
The predicted salary is between 28800 - 48000 £ per year.
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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Junior Data Engineer employer: Tottenham Hotspur Football Club
Contact Detail:
Tottenham Hotspur Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Tottenham Hotspur. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your data engineering prowess, make sure to share them during interviews. Real-world examples can really set you apart.
✨Tip Number 3
Prepare for technical questions! Brush up on your SQL and Python skills, and be ready to tackle some coding challenges. They want to see how you think and solve problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Spurs family.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data engineering! Share any projects or experiences that highlight your love for working with large datasets and how you’ve tackled challenges in the past.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills like SQL, Python, and ETL processes, and connect them to the responsibilities mentioned in the job description. We want to see how you fit into our vision!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we’re looking for detail-oriented individuals, so clarity is key!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Tottenham Hotspur Football Club
✨Know Your Data Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data engineering or database management. Showing that you can handle large datasets and understand ETL processes will definitely impress them.
✨Understand the Club's Vision
Familiarise yourself with Tottenham Hotspur's mission and values. They want someone who not only has the technical skills but also aligns with their ambition to push boundaries in football analytics. Mentioning specific examples of how you can contribute to their goals will show you're genuinely interested.
✨Prepare for Technical Questions
Expect some technical questions related to data pipelines, cloud technologies, and data integrity. Practice explaining your thought process when solving problems, as they value analytical thinkers. You might even be asked to solve a problem on the spot, so stay calm and think it through.
✨Show Your Collaborative Spirit
Since the role involves working closely with analysts and data scientists, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects and how you communicate effectively with others. This will highlight your ability to fit into their team-oriented culture.
