Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data solutions using Azure and Python.
- Company: Leading sports marketing firm in Greater London with a dynamic team.
- Benefits: 23 days vacation, private healthcare, and performance-based bonuses.
- Why this job: Join a passionate team and make an impact in the sports industry.
- Qualifications: Strong understanding of data lakehouse environments and good SQL skills.
- Other info: Collaborate closely with product and marketing teams for innovative projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports marketing firm in Greater London seeks a talented Data Engineer to join their team. You will design and build scalable data solutions using Azure and Python while collaborating closely with product and marketing teams.
The role offers a comprehensive benefits package, including 23 days of vacation plus additional leave days, private healthcare, and performance-based bonuses.
Candidates should have a strong understanding of data lakehouse environments and good SQL skills.
Data Engineer - Fan Intelligence Platform (Azure/Python) employer: Two Circles Ltd
Contact Detail:
Two Circles Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Fan Intelligence Platform (Azure/Python)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure and Python projects. This is your chance to demonstrate your expertise in data lakehouse environments and SQL – make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects to highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - Fan Intelligence Platform (Azure/Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Fan Intelligence Platform. Keep it engaging and personal!
Showcase Your SQL Skills: Since good SQL skills are a must-have for this role, consider including specific examples of how you've used SQL in past projects. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Two Circles Ltd
✨Know Your Tech Stack
Make sure you brush up on Azure and Python before the interview. Be ready to discuss your experience with data lakehouse environments and how you've used SQL in past projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Collaboration Skills
Since this role involves working closely with product and marketing teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where teamwork made a difference and be ready to share those stories.
✨Understand the Company’s Vision
Research the sports marketing firm and understand their mission and values. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the position and help you stand out from other candidates.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data strategy or how they measure success in the role. It shows that you're engaged and thinking critically about how you can contribute to their team.
