Overview
A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes.
In this Data Engineer role, you will build and maintain scalable data pipelines, models and infrastructure that power product analytics across Tripledot Games. You will partner with BI, Data Science, backend and product teams to deliver reliable, well-tested data solutions and data products. The role covers monetisation analytics, A/B test analysis, and AI-enabled tooling to support incident investigation and development workflows. You will work in a fast-paced, cross-functional environment and have the opportunity to contribute to AI-powered product initiatives at scale.
Compensaciones / Ventajas
25 days holiday
Hybrid working
Private medical cover
Life & Critical Illness Cover
Family Forming Support
Employee Assistance Program (EAP)
Responsabilidades
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 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
Requisitos principales
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 xqbhyrx
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
Collaborative mindset
Strong communication with cross-functional teams
Adaptive and proactive problem solving
SQL
Data modelling
Python

📌 Data Engineer (Barcelona)
🏢 Tripledot Studios
📍 Barcelona