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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 with global clients.
- Benefits: Customisable benefits package, generous holiday, and exciting team events throughout the year.
- Why this job: Make a real impact in sports by unlocking the potential of data.
- 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. We grow audiences and revenues by understanding fans best. We work with clients to help them understand and influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch, and more. 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 looking for a talented Data Engineer to join our squad of 50 Data BI Engineers, working on our Fan Intelligence Platform. You will be helping to build the leading data management and analytics platform for the sports industry. In this role, you will work with cutting-edge technologies to design, build, and optimize scalable data solutions, enabling teams, leagues, and organizations to unlock the full potential of their data.
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 to this role, we believe that attitude and ability to learn new skills are the most important factors for success in this team. Strong teamwork skills, with a collaborative mindset and desire to learn from others, are essential. A proactive attitude with a passion for continuous learning and growth, high attention to detail, and commitment to delivering quality work are also important. You should be comfortable working in a fast-paced environment, with the ability to estimate tasks and deliver incremental value effectively.
Benefits:
We offer a benefits package to suit you and your lifestyle. Out of a core monthly budget, you can choose your own comprehensive benefit package. Renowned Team Days often throughout the year, Summer Away Days, and 23 standard days of holiday (+1 Birthday, +1 Well-being Day, +1 'Big Life Event', and +1 Admin Day), closure of office over Christmas.
Data Engineer in England employer: Two Circles
Contact Detail:
Two Circles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the sports and data engineering fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure, Python, or SQL. This is your chance to demonstrate what you can do beyond just a CV. Make sure to include links to any GitHub repositories or live demos.
✨Tip Number 3
Prepare for the interview like it’s game day! Research Two Circles and understand their clients and projects. Be ready to discuss how your experience aligns with their needs, especially around data management and analytics. Tailor your answers to show you’re a perfect fit for their squad.
✨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 team at Two Circles. Don’t forget to follow up after applying – a little nudge can go a long way!
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us know why you're passionate about data engineering. Share any projects or experiences that highlight your love for working with data and how it can impact the sports industry.
Tailor Your Application: Make sure to customise your application to fit the role of Data Engineer. Highlight your experience with Azure, Python, and SQL, and explain how these skills will help you contribute to our Fan Intelligence Platform.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We want to see your skills and experiences without having to sift through unnecessary fluff!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Two Circles
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, ADF, and Databricks. Brush up on your Python and SQL skills, as you might be asked to solve problems or answer technical questions related to these tools during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and 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 abilities, which are crucial for a Data Engineer.
✨Emphasise Collaboration
Since teamwork is key in this role, be ready to share examples of how you’ve collaborated with others in past projects. Talk about how you’ve worked with product and marketing teams to deliver data-driven insights, showcasing your ability to communicate effectively across departments.
✨Demonstrate Your Learning Mindset
The company values a proactive attitude and a passion for continuous learning. Be prepared to discuss how you stay updated with industry trends and technologies. Mention any courses, certifications, or personal projects that reflect your commitment to growth in the data engineering field.
