At a Glance
- Tasks: Build data pipelines and collaborate with analysts to drive football performance.
- Company: Join the iconic Manchester United, a leader in football excellence.
- Benefits: Enjoy wellness support, exclusive discounts, gym access, and career development opportunities.
- Other info: Diverse and inclusive environment with excellent growth potential.
- Why this job: Be part of a transformative team making data-driven decisions in football.
- Qualifications: Experience in data pipelines, strong Python and SQL skills required.
The predicted salary is between 50000 - 65000 £ 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 & AI Team, playing a key role in the club’s transformation into a fully data-driven organisation. The team delivers powerful insights, builds trusted data products, and operates modern data platforms that enable better decisions and success on and off the pitch. We’re looking for a Football Data Engineer to play a key part in this transformation. In this role, you’ll help build robust pipelines to deliver data to stakeholders across the club. If you’re passionate about building the infrastructure to enable our football experts to make data-driven decisions, we’d love to hear from you.
Key Responsibilities
- Collaborate closely with analysts, data scientists, and football performance staff to understand their needs and translate them into well-engineered technical solutions.
- Architect and build robust, secure and scalable pipelines to ingest data from a variety of sources, both internal and 3rd party.
- Build and maintain secure, scalable data egress patterns, including APIs that expose curated warehouse data to end users via our central platform, and where appropriate through third party tools, scripts and automated workflows.
- Take part in planning and prioritisation of engineering work with the existing Football Data Engineers and Football Data Programme Manager.
- Own the reliability and quality of critical football data models, ensuring pipelines are monitored, tested, and maintained to the highest standard.
- Define and champion best practices for data engineering across the group.
- Demonstrate a commitment to writing great documentation for processes you build.
The Person
- Proven experience with building and maintaining production data pipelines to serve business critical requirements.
- Strong fundamental Python and SQL skills.
- Experience with Continuous Integration/Deployment processes and Git version control.
- Dimensional modelling abilities; you care 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 in Manchester 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 in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Manchester United on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and data pipelines. We want to see your passion for data engineering shine through!
✨Tip Number 3
Showcase your collaborative spirit! Be ready to share examples of how you've worked with analysts or other teams in the past. At Manchester United, teamwork is key, and we love to see candidates who thrive in a collaborative environment.
✨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 serious about joining our team and contributing to our success.
We think you need these skills to ace Football Data Engineer in Manchester
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 how excited you are about the role and how you can contribute to our team's success.
Tailor Your CV: Make sure your CV is tailored to the Football Data Engineer position. Highlight your experience with data pipelines, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for us.
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!
How to prepare for a job interview at Manchester United FC
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and the tools mentioned in the job description, like Python, SQL, and cloud-based stacks. Be ready to discuss how you've built and maintained production data pipelines in the past, as this will show your practical experience.
✨Show Your Collaborative Spirit
Since the role involves working closely with analysts and football performance staff, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you translated technical needs into solutions, as this will demonstrate your ability to work within a team.
✨Demonstrate Continuous Improvement Mindset
Talk about how you proactively identify issues and opportunities for improvement in your work. Share specific instances where you've implemented changes that enhanced data quality or pipeline reliability, as this aligns perfectly with the club's drive for excellence.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview that reflect your interest in the role and the club's vision. For example, inquire about the current challenges the Data & AI Team faces or how they measure the success of their data-driven initiatives. This shows you're genuinely invested in contributing to their goals.