Lead Data Engineer – Data Warehousing & Analytics

Sportserve is part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for users worldwide. We operate with a diverse, international culture and offer office based, hybrid and remote work on permanent and consultancy contracts globally.

We’re looking for a hands-on Lead Data Engineer to drive the development and innovation of our large-scale data platforms. You’ll lead a talented team building mission-critical data warehousing and analytics solutions, handling ETL pipelines, real-time streaming, and batch processing across multiple game franchises. Data warehousing will be a core focus, ensuring data is structured, accessible, and ready for analytics and reporting.

This is a unique opportunity to lead, mentor, and code, collaborating with engineers, analysts, and data scientists to ensure highly performant, scalable, and reliable systems, while shaping best practices in data governance, DevOps, and process improvement.

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• Lead the design, development, and maintenance of large-scale data warehousing and analytics solutions.
  
• Oversee ETL processes, real-time streaming, and batch data processing across multiple game franchises.
  
• Collaborate with engineering teams, analysts, and data scientists to ensure solutions are scalable, reliable, and high-performing.
  
• Perform hands-on work in data ingestion, transformation, and storage, owning systems end-to-end.
  
• Analyze datasets, extract actionable insights, and present findings to stakeholders.
  
• Drive data governance, process improvements, and innovation, including AI/ML and advanced analytics applications.
  
• Mentor team members and support their technical growth and career development.
  
• Maintain robust CI/CD practices, DevOps, and system reliability.
  

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• Expertise with BigQuery, Firestore, PostgreSQL, MSSQL, Python, SQL, and NoSQL databases.
  
• Experience with streaming platforms (Kafka, NiFi, MQTT) and cloud platforms (GCP preferred).
  
• Strong understanding of data structures, data modeling, and software architecture.
  
• Familiarity with multi-threading, message queues, WebSockets, and CI/CD pipelines.
  
• Hands-on experience in building high-performance, scalable, and reliable systems.
  
• Interest in AI/ML, deep learning, or NLP is a plus.
  
• Excellent analytical, problem-solving, and communication skills.
  

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• Bachelor’s degree in Computer Science or related field (or equivalent experience).
  
• 3-5 years of experience in data engineering, data warehousing, or analytics.
  
• Proven ability to build, optimize, and maintain large-scale data systems.
  
• Hands-on coding experience in Python and SQL.
  
• Comfortable working in a fast-paced, delivery-oriented environment.
  
• Self-starter with a team-oriented, collaborative mindset.
  

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• Work on large-scale, real-world data projects across multiple game franchises.
  
• Lead a talented, collaborative team and shape their technical growth.
  
• Drive innovation in AI, machine learning, and advanced analytics.
  
• Make a real impact on the future of our data ecosystem.
  

At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone’s contribution is valued and respected.

If you’re passionate about technology and looking to start your career in an international, forward-thinking sports betting company, we’d love to hear from you. Apply now to become part of our exciting journey!