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- Tasks: Design and build scalable data solutions for the sports industry using cutting-edge technologies.
- Company: Join Two Circles, a leading Sports & Entertainment Marketing business.
- Benefits: Customisable benefits package, generous holiday, private healthcare, and performance bonuses.
- Why this job: Make an impact in sports while working with top clients like Nike and Amazon.
- Qualifications: Experience in data engineering, Python, SQL, and Azure tools.
- Other info: Dynamic team environment with opportunities for continuous learning and growth.
The predicted salary is between 36000 - 60000 £ per year.
We are Two Circles, a Sports & Entertainment Marketing business that grows audiences and revenues by understanding fans. We work with clients to help them understand and influence fan behaviour, including spending habits, event attendance, and content consumption. Our platforms and services are trusted by over 900 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike, and Amazon. We are almost 1000 people, based out of 14 offices, delivering work for sports and entertainment businesses worldwide.
We are looking for a talented Data Engineer to join our squad of over 50 Data & BI Engineers, working on our Fan Intelligence Platform. You will help build the leading data management and analytics platform for the sports industry, using cutting-edge technologies to design, build, and optimize scalable data solutions.
Your initial duties will involve:
- Designing, building, and testing scalable data platform solutions in Azure, leveraging tools like ADF, Databricks, and Function Apps, using Python.
- Developing high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines.
- Collaborating closely with product and marketing teams to deliver data-driven insights and solutions that provide high business value.
- Writing clean, maintainable code following best practices and development frameworks, ensuring robust data engineering standards.
- Continuously improving and optimizing data workflows, monitoring performance and implementing enhancements to drive innovation.
Requirements:
- Experience in designing, building, and testing solutions within a data lakehouse environment.
- Proficiency in Python and PySpark for data processing and analytics.
- Strong SQL skills for querying and managing data.
- Hands-on experience with Azure, preferably ADF, Databricks, and Function Apps.
- Familiarity with CI/CD pipelines using Azure DevOps or similar tools.
- Ability to work within established development frameworks and adhere to coding standards.
While the above skills are important, we believe that attitude and the ability to learn new skills are the most important factors for success in this team. If you are missing some of the experience listed above but this sounds like you, we’d love to hear from you.
We value strong teamwork skills, a collaborative mindset, and a proactive attitude with a passion for continuous learning and growth. Attention to detail and commitment to delivering quality work are essential, as is the ability to work effectively in a fast-paced environment.
Benefits:
We offer a benefits package to suit you and your lifestyle, including:
- Renowned Team Days throughout the year
- Summer Away Days
- 23 standard days of holiday (+1 Birthday, +1 Well-being Day, +1 'Big Life Event', and +1 Admin Day), closure of office over Christmas (plus Bank Holidays)
- Discretionary Bonus based on company performance
- Performance Reviews every 6 months with discretionary salary increases
- Private healthcare (Vitality) and/or Health Care Plan (Medicash)
- Mobile phone contribution
- Sport Challenge contribution
- Gym membership contribution
- 2 x annual kit drops
Data Engineer in London employer: Two Circles
Contact Detail:
Two Circles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports and entertainment industry on LinkedIn or at 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 projects, especially those using Azure, Python, and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss how you can help grow audiences and revenues!
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with Azure, Python, and data lakehouse environments. We want to see how your skills align with what we do at Two Circles!
Show Your Passion for Data: In your application, let us know why you're passionate about data engineering and how you can contribute to our Fan Intelligence Platform. Share any projects or experiences that showcase your enthusiasm and expertise in the field.
Keep It Clear and Concise: When writing your application, be clear and to the point. Use bullet points where necessary to make it easy for us to read. We appreciate well-structured applications that get straight to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will go straight to our recruitment team, and you'll have a better chance of standing out. Plus, it’s super easy to do!
How to prepare for a job interview at Two Circles
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Azure, ADF, Databricks, and Python. Brush up on your SQL skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed or built data solutions. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Teamwork
Since collaboration is key in this role, be ready to share examples of how you’ve worked effectively in teams. Talk about how you’ve contributed to group projects and learned from others, showcasing your collaborative mindset.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data initiatives and how they measure success. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
