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For Companies At a Glance
- Tasks: Build reliable data models and improve performance in a high-energy football environment.
- Company: Join the iconic Manchester United team, where passion meets innovation.
- Benefits: Enjoy wellness support, exclusive discounts, gym access, and enhanced career development.
- Other info: Diverse and inclusive workplace that values your unique perspective.
- Why this job: Make an impact in football by leveraging cutting-edge data technologies.
- Qualifications: Experience with cloud-based data stacks and a drive for continuous improvement.
The predicted salary is between 50000 - 70000 £ per year.
At Manchester United, we believe that excellence on the pitch starts with excellence off the pitch. Our team thrives in a high-performance environment, united by a shared passion for success. We aim to elevate the standard of performance through collaboration and continuous growth, creating a space where everyone can contribute their best to our common goals. We work together at our iconic Manchester United offices, enabling connection and innovation as we look ahead to what we can achieve as a global football club. We are excited to bring in passionate people who share our vision and drive for success.
The Role
- You'll be part of the Data team, caring deeply about building reliable data models.
- Familiarity with modern cloud-based data stacks e.g. Databricks, Azure Data Factory, Snowflake, Big Query etc.
- A drive for continuous improvement in your work and that of others, proactively identifying issues and opportunities.
Desirable (but not essential)
- Familiarity with Docker.
- Experience with PostgreSQL.
- An interest in or prior experience with infrastructure-as-code (Terraform or similar).
What We Offer
- Annual incentive scheme.
- Wellness Support with access to mental health resources, digital health checks, and nutritionists through Aviva Digicare+.
- Workplace Exclusive Discounts through our United Rewards platform, giving you access to exclusive deals from the club and partners.
- Gym Facilities in our onsite locations and opportunities for regular social events and team-building activities.
- Enhanced family Leave Benefits and an opportunity to purchase additional holiday days.
- Enhanced Career Development with access to professional learning platforms like LinkedIn Learning, and internal training programs.
- A Supportive Work Environment that values diversity, equity and inclusion, and individual growth.
Our Commitment to You
At Manchester United, we believe that a diverse and inclusive environment makes us stronger. We are committed to building a team where everyone feels welcomed, valued, and empowered to contribute their unique perspectives. Diversity, equity and inclusion are at the core of our recruitment strategy, and we welcome applicants from all backgrounds.
Football Data Engineer employer: Manchester United FC
Contact Detail:
Manchester United FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Football Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the football data industry, especially those connected to Manchester United. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and any projects you've worked on. This is your chance to demonstrate your passion for data engineering and how you can contribute to the team's success.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of cloud-based data stacks and infrastructure-as-code. Be ready to discuss how you can drive continuous improvement and tackle challenges head-on.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Manchester United family.
We think you need these skills to ace Football Data Engineer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your passion for football and data shine through. We want to see that you care about the game and how data can elevate performance. Share any relevant experiences or projects that highlight this enthusiasm!
Tailor Your CV: Make sure your CV is tailored to the role of Football Data Engineer. Highlight your experience with cloud-based data stacks like Databricks or Snowflake, and don’t forget to mention any familiarity with Docker or PostgreSQL. We love seeing how your skills align with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Manchester United!
How to prepare for a job interview at Manchester United FC
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern cloud-based data stacks like Databricks, Azure Data Factory, and Snowflake. Be ready to discuss how you've used these tools in past projects or how you would approach using them at Manchester United.
✨Show Your Passion for Improvement
Demonstrate your drive for continuous improvement by sharing specific examples of how you've identified issues and implemented solutions in your previous roles. This will show that you're proactive and committed to enhancing performance.
✨Emphasise Team Collaboration
Since the role involves working in a high-performance environment, be prepared to talk about your experience collaborating with others. Highlight instances where teamwork led to successful outcomes, as this aligns with Manchester United's values.
✨Be Ready for Technical Questions
Expect some technical questions related to PostgreSQL and infrastructure-as-code tools like Terraform. Brush up on these topics and be ready to explain your understanding or any relevant experience you have, even if it's not extensive.