At a Glance
- Tasks: Develop and maintain data engineering solutions for football decision-making.
- Company: Join City Football Group, a global leader in football operations.
- Benefits: Enjoy 26 days' leave, private healthcare, and a range of perks.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make an impact in football using advanced data analytics and engineering.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms required.
The predicted salary is between 50000 - 65000 £ per year.
About the job
Based in Manchester, this permanent full‑time role plays a key part in supporting football decision‑making across City Football Group (CFG) through advanced data engineering and analytics solutions. Working within the Football Intelligence team, you will help build and maintain scalable, reliable and well‑governed data systems that place high‑quality insight into the hands of key football stakeholders and performance practitioners.
Who We Are
Founded in 2013, City Football Group is the world’s leading private owner and operator of football clubs, with teams across the globe connected by a shared belief in doing things differently. Alongside our clubs, we invest in football‑related businesses and build partnerships that help the game, and the communities around it, thrive. Everything we do is guided by our purpose: empowering better lives through football. Rooted in more than a century of “City” football, we are proud of the role our clubs play locally and globally, creating positive impact on and off the pitch.
Within our Football Intelligence team
We use data science, analytics and technology to support smarter and faster football decision‑making across the CFG network. Collaboration, innovation and continuous improvement are central to how we work, helping to create data‑driven solutions that support performance both on and off the pitch.
The Role
You will play a key role in developing and maintaining robust data engineering solutions that support football operations and strategic decision‑making across City Football Group. Working closely with data scientists, analysts and practitioners, you will help ensure large volumes of football data are accurately ingested, transformed and integrated into reliable systems and user‑facing solutions. Alongside pipeline development and quality assurance, you will support the productionisation of machine learning and statistical models, helping to ensure analytics solutions are scalable, efficient and maintainable. You will contribute to embedding software engineering best practice across analytics delivery, supporting consistent, reliable and high‑quality data products. You will also contribute to improving documentation, workflows and operational processes across the Football Intelligence function, helping to create well‑governed systems that reduce operational risk and support long‑term scalability. Through your technical expertise, collaboration and problem‑solving approach, you will help strengthen the impact of analytics across football operations.
What You’ll Bring
- Multi‑year experience within data engineering or analytics engineering environments
- Highly competent in Python, SQL Server and Databricks SQL
- Experience working with data pipelines, workflow management tools and cloud‑based data platforms in Azure Data Factory, Databricks and Spark
- Understanding of software engineering best practices including CI/CD and automated testing
- Ability to manage project timelines and communicate effectively with stakeholders
- Collaborative approach when working across technical and operational teams
Why Choose Us
Working at City Football Group means being supported to do your best, with the flexibility and encouragement to look after your well‑being. We are committed to helping our people learn, grow and thrive in a culture built on collaboration, openness and hard work. As part of our team, you will receive 26 days’ annual leave plus a day off for your birthday, private healthcare and dental cover, and an annual discretionary bonus. You will also have access to a Health Cash Plan, Employee Assistance Programme with 24/7 GP support, and a company pension and life assurance. You can enjoy a range of additional benefits, including cycle‑to‑work, give‑as‑you‑earn, discounted match tickets, savings in the City Store, a free City+ subscription, stadium tour discounts and wider retail and lifestyle offers.
Senior Analytics Engineer in Manchester employer: City Football Group
City Football Group is an exceptional employer, offering a dynamic work environment in Manchester where innovation and collaboration thrive. Employees benefit from a strong commitment to personal growth, generous leave policies, and comprehensive health coverage, all while contributing to the meaningful mission of enhancing lives through football. With a focus on well-being and a culture that values teamwork, this role as a Senior Analytics Engineer provides a unique opportunity to make a significant impact in the world of sports analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at City Football Group on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Python, SQL, and data pipelines. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss real-world scenarios! Think of examples where you've used data engineering to solve problems. This will show how you can contribute to CFG's mission of smarter decision-making.
✨Tip Number 4
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 joining the CFG team.
We think you need these skills to ace Senior Analytics Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with Python, SQL Server, and data pipelines, as these are key skills we're looking for. We want to see how your background aligns with our mission at City Football Group!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about football and how your analytics expertise can contribute to smarter decision-making. Show us your personality and enthusiasm for the role!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data systems and your understanding of software engineering best practices. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at City Football Group!
How to prepare for a job interview at City Football Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering and analytics tools mentioned in the job description, like Python, SQL Server, and Databricks. Brush up on your experience with data pipelines and cloud platforms, especially Azure Data Factory, as these will likely come up during technical discussions.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and analysts, be prepared to discuss examples of how you've successfully collaborated in past projects. Highlight your ability to communicate effectively with stakeholders and how you’ve contributed to team success.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you’ve faced in previous roles related to data engineering or analytics. Be ready to explain how you approached these problems, the solutions you implemented, and the impact they had on your team or project outcomes.
✨Emphasise Continuous Improvement
The job mentions a focus on innovation and continuous improvement. Prepare to discuss how you’ve contributed to improving workflows, documentation, or operational processes in your previous roles. This shows that you’re not just about getting the job done but also about enhancing the overall efficiency of the team.
