At a Glance
- Tasks: Develop and maintain data systems to support football decision-making.
- Company: Join City Football Group, a leader in sports analytics.
- Benefits: Enjoy 26 days of annual leave and private healthcare.
- Other info: Be part of a dynamic team focused on innovation and well-being.
- Why this job: Make an impact in football with advanced data engineering.
- Qualifications: Strong experience in Python, SQL Server, and data pipelines.
The predicted salary is between 50000 - 65000 £ per year.
City Football Group is seeking a Data Engineer in Manchester to support football decision-making through advanced data engineering. In this full-time role, you will develop and maintain data systems that ensure high-quality insight for stakeholders.
The ideal candidate will have strong experience in Python, SQL Server, and data pipelines.
Benefits include 26 days of annual leave, private healthcare, and various employee programs supporting well-being.
Senior Analytics Engineer — Football Intelligence in Manchester employer: City Football Group
City Football Group is an exceptional employer, offering a dynamic work culture in the heart of Manchester where innovation meets passion for football. With a strong commitment to employee well-being, you will enjoy generous benefits such as 26 days of annual leave and private healthcare, alongside ample opportunities for professional growth within a collaborative team dedicated to making impactful decisions in the world of football.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer — Football Intelligence in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and SQL Server. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Analytics Engineer — Football Intelligence in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL Server, and data pipelines in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences can contribute to football decision-making at City Football Group. We love seeing personalised applications!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at City Football Group
✨Know Your Data Tools
Make sure you brush up on your Python and SQL Server skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand Football Analytics
Since this role is focused on football intelligence, it’s crucial to have a solid understanding of how data impacts decision-making in football. Familiarise yourself with recent trends in football analytics and be prepared to share your insights during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've built or maintained data pipelines in the past. Think of examples where you had to troubleshoot issues or optimise processes, as this will demonstrate your analytical thinking and technical prowess.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the types of data systems they currently use or how they measure the success of their analytics initiatives. This shows you're genuinely interested and engaged.
