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- Tasks: Design and maintain scalable data systems for sports analytics.
- Company: Join a prestigious football club focused on innovation and excellence.
- Benefits: Enjoy flexible working options and access to real-world sports data.
- Why this job: Make a meaningful impact on elite football performance while collaborating with top athletes.
- Qualifications: 3+ years experience in Data Engineering, advanced Python and SQL skills required.
- Other info: Opportunity for professional growth within a digital-first team.
The predicted salary is between 36000 - 60000 £ per year.
This role is a unique opportunity for a Data Engineer to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.
Key responsibilities for the role of Data Engineer include:
- Design, construct, install, test, and maintain highly scalable data management systems.
- Ensure systems meet requirements and industry practices for data quality and integrity.
- Integrate data management technologies and software tools into existing structures.
- Create data tools to support sport data modelling, prediction and analytics.
- Work with data and analytics experts to strive for greater functionality in our data systems.
As the selected Data Engineer, your background will include:
- 3+ years industry experience in a Data Engineer role and a strong academic background.
- Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning.
- ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies.
- GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines.
- Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP.
- Engineering Best Practices: Proficiency with Git, CI/CD for data systems, and robust testing methodologies.
Highly desirable skills include:
- Domain Experience: Familiarity with the unique structure of sports data (e.g., event, tracking, scouting, video).
- API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine.
- Streaming Data: Practical experience building real-time data pipelines.
- DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker, Kubernetes).
What They Offer:
- Work that impacts elite football performance and club-wide success.
- Access to real-world sports data and performance analytics.
- Flexible working options (hybrid/remote depending on role).
- Opportunity to grow with a digital-first team inside a world-renowned club.
Data Engineer (Football Club) employer: Singular Recruitment
Contact Detail:
Singular Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Football Club)
✨Tip Number 1
Network with professionals in the sports analytics field. Attend industry events, webinars, or local meetups to connect with people who work in football clubs or sports data roles. This can help you gain insights into the company culture and potentially get referrals.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Google Cloud Dataflow and BigQuery. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 3
Showcase your passion for sports analytics by engaging with relevant content online. Follow thought leaders in the field, participate in discussions, and share your insights on platforms like LinkedIn. This will help you build a personal brand that aligns with the role.
✨Tip Number 4
Prepare for potential interviews by brushing up on your knowledge of data architecture and modelling, especially in the context of sports data. Be ready to discuss how you would approach designing scalable data systems tailored to the unique needs of a football club.
We think you need these skills to ace Data Engineer (Football Club)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and GCP technologies. Emphasise any projects or roles that involved sports analytics or similar domains.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports analytics and how your skills align with the role. Mention specific technologies you’ve worked with, such as Google Cloud Dataflow or BigQuery, and how they relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data pipelines, ETL processes, or sports data, include these in your application. Provide brief descriptions of your contributions and the impact of these projects on performance or analytics.
Highlight Soft Skills: Since this role involves collaboration with various stakeholders, mention your teamwork and communication skills. Provide examples of how you've successfully worked in a team environment, especially in high-pressure situations.
How to prepare for a job interview at Singular Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and the GCP stack in detail. Highlight specific projects where you've designed and maintained data pipelines, as this will demonstrate your technical expertise and problem-solving abilities.
✨Understand Sports Data
Familiarise yourself with the unique aspects of sports data, such as event tracking and performance analytics. Showing that you understand the context in which your data engineering skills will be applied can set you apart from other candidates.
✨Demonstrate Collaboration
Since the role involves working closely with data and analytics experts, be ready to share examples of how you've successfully collaborated in past projects. Emphasising your ability to work in a team-oriented environment will resonate well with the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data architecture and engineering best practices.
