Lead Data Engineer

### Who you are
- Experience in designing, building, and testing solutions within a data lakehouse environment
- Proficiency in Python and PySpark for data processing and analytics
- 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
- Excellent communication skills, with an ability to articulate blockers and timelines to non-technical stakeholders
- Strong teamwork skills, with a collaborative mindset and desire to learn from others
- Strong SQL skills for querying and managing data
- A proactive attitude with a passion for continuous learning and growth
- High attention to detail and commitment to delivering quality work
- Comfortable working in a fast-paced environment, with the ability to estimate tasks and deliver incremental value effectively
- 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. If you are missing some of the experience listed above but this sounds like you, we’d love to hear from you

### What the job involves
- We're looking for a talented Data Engineer to join our squad of >100 Data & BI Engineers, working on our Audience Intelligence Platform
- You will be helping to build the leading data management and analytics platform for the sports industry
- In this role, you'll 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
- If you're passionate about data engineering, enjoy collaborating in a fast-paced environment, and want to make an impact in the sports industry, we’d love to hear from you!
- Design, build, and test scalable data platform solutions in Azure, leveraging tools like ADF, Databricks, and Function Apps, using Python
- Develop high-quality data products, ensuring efficiency, reliability, and performance across our data pipelines
- Collaborate closely with product and marketing teams to deliver data-driven insights and solutions that provide high business value
- Write clean, maintainable code following best practices and development frameworks, ensuring robust data engineering standards
- Continuously improve and optimize data workflows, monitoring performance and implementing enhancements to drive innovation

### Benefits
- Renowned Team Days often throughout the year
- Summer Away Days
- 23 standard days of holiday (+ 1 Birthday, +2 for a ‘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
- 2x annual kit drops
- Tickets to sporting events
- Lunch once a week, breakfast and continuous supply of snacks
- Private healthcare schemes
- Cycle to work scheme
- Learning and Development opportunities, including certification in certain areas