Remoto: Trabajo híbrido

Overview 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 holidayHybrid workingPrivate medical coverLife & Critical Illness CoverFamily Forming SupportEmployee Assistance Program (EAP)Responsabilidades Develop, maintain and support scalable data pipelines, data models and data infrastructureBuild engineering data products used by product teams, Data Science and other stakeholdersPartner with the BI team to design and develop data models and provide data-modelling guidanceImplement testing and monitoring to maintain reliability and quality of data models and pipelinesContribute to data solutions supporting product analytics,



including monetisation analytics and A/B test analysisHelp develop tools and AI-enabled products that improve incident investigation and development workflowsCollaborate with Data Engineering colleagues and cross-functional partners across BI, Data Science, backend and product teamsLearn the business context behind our data and take independent ownership of selected data areasRequisitos principales Strong SQL and data-modelling skillsExperience building and maintaining data pipelines and working with analytical data platformsProficiency in Python for data engineering workUnderstanding of analytical and transactional databases, including their differences and appropriate use casesExperience with a cloud data warehouse such as Snowflake, Databricks or BigQueryExperience with, or the ability to quickly learn, orchestration and transformation tools such as Airflow and dbtA practical approach to testing, monitoring and maintaining reliable data systemsAbility to collaborate effectively with technical and non-technical teamsInterest in using AI tools, such as Claude, to improve development workflows and productivityGames industry experience is welcome but not requiredFamiliarity with Looker or similar BI and visualisation tools is beneficial but not essentialCollaborative mindsetStrong communication with cross-functional teamsAdaptive and proactive problem solvingSQLData modellingPython

📌 Data Engineer (Scala, Spark, SQL) (Barcelona)
🏢 Tripledot Studios
📍 Barcelona