We are looking for a Staff Data Engineer to join our growing Product & Tech team. In this role, you will help shape the evolution of our data platform and influence engineering decisions across multiple cross-functional teamsYour main goal will be to partner with us in designing and scaling our data platform, strengthening both our operational databases and analytical platform, and bringing quality software engineering practices to all our data products and pipelinesYou’ll collaborate closely with the product team and backend engineers, and serve as a trusted partner to business stakeholders who depend on accurate, timely data to drive product decisions and company strategyDefine and drive the technical vision for our data platform and architectureDesign scalable, reliable, and maintainable data solutions that support business growthEstablish and cultivate best practices around data architecture, modeling, quality, and engineering standardsLead complex technical initiatives and make strategic architectural decisions across multiple teamsPartner with Product, Engineering, and business stakeholders to translate business needs into scalable data solutionsMentor and support Data Engineers, fostering technical growth and knowledge sharing across the teamDrive continuous improvements that increase the scalability, reliability,



and efficiency of our data platformBenefitsTruly flexible schedulesRegular company eventsA selection of free drinks at the officeMentoring and career developmentThe hotel room is your office - we allow working from another country up to 3 months a yearFlexible compensation plan - our Edenred and become.1 cards are an open door to customisable benefits and tax savingsThis role is idóneo for someone with strong skills in Python and SQL, solid software engineering fundamentals, a background in data-intensive product or platform teams where they contributed to production data architectures and pipelines end to end, and the ability to succeed in a dynamic, outcome-focused environment owning the full data cycle from operational to analytical systemsAdvanced SQL skills with PostgreSQL: Complex query design, performance tuning, indexing strategies, and a deep understanding of execution plans for both OLTP and OLAP workloadsStrong experience with dbt: Data modeling, testing, and documenting analytical datasets, managing environments, and structuring projects for scalabilityStrong grasp of data modeling: Dimensional modeling plus a clear understanding of trade-offs for operational vs analytical schemasHands-on experience with Dagster (or similar orchestration tools): Designing assets/jobs, dependency graphs, scheduling, monitoring, and incident handling for data workflowsProficiency in Python for data engineering: Building robust ETL/ELT pipelines, modular libraries, and tooling with strong testing and observabilitySolid knowledge of containerization and orchestration: Docker and Kubernetes for deploying data services, batch jobs, and microservices in production
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📌 Staff Data Engineer (Barcelona)
🏢 Qualifyze
📍 Barcelona