Data Engineer

• 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year
• Hybrid Working
• 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
• Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
• Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands.
• Life & Critical Illness Cover: Protect your future with our life and critical illness cover.
• Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
• Employee Assistance Program: Access confidential support anytime through our Employee Assistance Program.
• Sport Compensation: Stay fit and active with our sport compensation benefit.
• Meal and Transport Vouchers: Save on meals and transport with our convenient vouchers.
• English & Spanish Classes: Enhance your English and Spanish skills with our provided language classes.
• Continuous Professional Development: Propel your career with continuous opportunities for professional development.

As a Data Engineer in our core Data Engineering team, you will help develop and support the data pipelines, models, infrastructure and engineering data products that power product analytics across Tripledot Games. You will work closely with other Data Engineers and collaborate with our BI, Data Science, backend and product teams to build reliable, tested and well-monitored data solutions.

The team's work spans areas including monetisation analytics, tools that help investigate issues, and a platform for A/B test analysis. You will also have the opportunity to use AI in your day-to-day development workflow and contribute to products built using AI and for AI, including an investigation agent designed to support incident analysis.

• Develop, maintain and support scalable data pipelines, data models and data infrastructure.
• Build engineering data products used by product teams, Data Science and other stakeholders.
• Partner with the BI team to design and develop data models and provide data-modelling guidance.
• Implement testing and monitoring to maintain the reliability and quality of data models and pipelines.
• Contribute to data solutions supporting product analytics, including monetisation analytics and A/B test analysis.
• Help develop tools and AI-enabled products that improve incident investigation and development workflows.
• Collaborate with Data Engineering colleagues and cross-functional partners across BI, Data Science, backend and product teams.
• Learn the business context behind our data and take independent ownership of selected data areas.

• Strong SQL and data-modelling skills.
• Experience building and maintaining data pipelines and working with analytical data platforms.
• Proficiency in Python for data engineering work.
• Understanding of analytical and transactional databases, including their differences and appropriate use cases.
• Experience with a cloud data warehouse such as Snowflake, Databricks or BigQuery.
• Experience with, or the ability to quickly learn, orchestration and transformation tools such as Airflow and dbt.
• A practical approach to testing, monitoring and maintaining reliable data systems.
• Ability to collaborate effectively with technical and non-technical teams.
• Interest in using AI tools, such as Claude, to improve development workflows and productivity.
• Games industry experience is welcome but not required.
• Familiarity with Looker or similar BI and visualisation tools is beneficial but not essential.