TransferRoom is a hyper-growth B2B SaaS Marketplace on a mission to change the football transfer market for the better. We do this by empowering football clubs, agents and players to be successful in the transfer market by giving them real-time market intelligence and direct access to a global network of decision-makers.

TransferRoom is market leading and has become a must have for key stakeholders in football’s transfer market. It’s used by 800+ clubs, including Man City, Liverpool and PSG, 550+ agencies and 8000 professional players. It has empowered clubs and agents to facilitate over 6500 transfers since launch in 2017.

Brief intro to the role:

TransferRoom is seeking a highly motivated and experienced Data Engineering Lead to steer the development of our Data Engineering strategy. Your contributions will have a direct impact on the success of our product and business.

What you’ll be doing:

• Architect & Lead our Data Engineering Strategy: Develop and implement a comprehensive Data Engineering strategy and infrastructure that enhances TransferRoom’s platform efficiency and data-driven decision-making.
• Design & Build Scalable Data Solutions: Create and maintain scalable data pipelines that ensure seamless integration, processing, and management of large datasets.
• ETL Expertise:Design and enhance our ETL processes, ensuring data integrity and efficiency across all stages.
• DataOps:Leverage the full suite of cloud based data tooling to manage data storage, analytics, and integration, while optimising for performance and security.
• Performance Optimisation:Tune and optimise T-SQL queries, ensuring high performance and responsiveness in data retrieval and manipulation.
• Data Governance & Security:Ensure data governance, with a focus on compliance (e.g., GDPR), data security, and privacy. Implement robust backup, recovery, and data masking strategies.
• Collaboration:Work cross-functionally with teams, providing strategic insights on data solutions, tools, and best practices to drive business growth.

Who you are:

You are a proactive individual who does what it takes to ensure the team's success. You care deeply about the quality of the team��s work and the efficiency with which that quality can be delivered.

Required skills and experience:

• Extensive experience in Data Engineering:Demonstrated experience in building, maintaining, and scaling large-scale data infrastructures.
  
• Expert in T-SQL & Performance Tuning: Strong proficiency in T-SQL, including optimisation and query performance tuning.
  
• SQL Server Expertise:Hands-on experience with Microsoft SQL Server, t-SQL, performance running and query optimization.
  
• Python Proficiency:Strong programming skills in Python, used for automation, scripting, and data manipulation.
  
• ETL knowledge: Extensive experience with ETL process design, implementation, and optimisation.
  
• Data Architecture Knowledge: A solid understanding of designing scalable data systems that can handle growing datasets and complex workflows.
  
• Communication Skills:Strong ability to convey complex technical concepts to stakeholders and work effectively in a fast-paced, agile environment.
  

Additional desired skills and experience:

• Experience in working with Azure DevOps & Azure Pipelines or equivalent CI/CD tooling
• Knowledge and passion for football

What’s in it for you:

• Employee assistance programme
• 25 days holiday plus bank holidays
• Life insurance
• Critical illness cover
• Pension plan 
• Enhanced parental leave
• Learning budget for everyone
• Discounted gym membership
• A generous employee Referral Bonus scheme
• Team building days and events
• Cycle-to-work scheme and an annual travel season ticket loan
• ‘Matched Giving’ programme where we donate when our employees donate
• We are a unique combination of a scale up with security

We are a fast scaling, category creating company with smart teammates who love what they do. With a unique combination as a scale up with security, we have an 86% Employee Satisfaction Score, a Likelihood to Recommend score of 8.3 and a score of 8.8 for how our colleagues rate their relationships with their coworkers.