Data Engineer - Joppy

One of the companies we partner with at Joppy is looking to hire a Senior Data Engineer to architect, build, and own a mission-critical data infrastructure from the ground up.This is a greenfield opportunity for someone deeply AI-native who understands that exceptional data foundations unlock the next phase of AI-driven growth.Design end-to-end data architecture, from raw data ingestion to clean, analytics-ready modelsBuild robust data pipelines to ingest information from multiple systems, including product, CRM, finance, marketing, and AI event tracesModel core data entities to provide a consistent source of truth for all teamsEstablish and maintain data quality, monitoring, testing, and alerting for trust in data outputsDevelop the foundational data layer needed for scalable, reliable AI initiativesInstrument product usage analytics, including events, funnels, and retention metricsCreate dashboards and data sets that drive decision-making across Sales, CX, Finance, and Marketing5+ years of hands-on data engineering experience, ideally in a startup or scale-up environment (exceptional candidates with less experience and proven end-to-end project ownership will be considered)Experience building a data warehouse or data platform from scratch, or leading a large-scale migrationProficiency in SQL and PythonDirect experience with BigQuery or similar cloud data warehousesComfort using AI tools in daily workflows, staying current with new models and techniques, and applying them to accelerate workA strong product mindset, with the ability to collaborate with stakeholders and focus on business outcomesFluent in Spanish and comfortable communicating in EnglishNice to haveExperience in SaaS companies with complex, multi-team data needsHands-on experience with dbt, particularly projects with 50+ models in productionFamiliarity with orchestration tools such as Airflow, Prefect, or DagsterKnowledge of event streaming using Kafka, Pub/Sub, or similar technologiesExpertise in data quality frameworks and observability toolsExperience handling AI/LLM traces and usage dataPython, SQL, BigQuery, Google Cloud Storage, Google Cloud Platform, PostHog, and a range of AI providersOpportunity to shape and own a critical data platform in a fast-growing, product-driven environmentCompetitive salary with room for growthModern office space in Barcelona (Poblenou)Hybrid work model: at least 2 days per week in the office for collaboration, 3 days WFH for focused tasksAccess to all AI tooling you wish to experiment withSubsidized Urban Sports Club membership (including yoga, HIIT, and more)Additional salary benefits via PlayflowAbout Joppy#J-*****-Ljbffr

5+ years of hands-on data engineering experience, ideally in a startup or scale-up environment (exceptional candidates with less experience and proven end-to-end project ownership will be considered) Experience building a data warehouse or data platform from scratch, or leading a large-scale migration Proficiency in SQL and Python Direct experience with BigQuery or similar cloud data warehouses Comfort using AI tools in daily workflows, staying current with new models and techniques, and applying them to accelerate work A strong product mindset, with the ability to collaborate with stakeholders and focus on business outcomes Fluent in Spanish and comfortable communicating in English Nice to haveExperience in SaaS companies with complex, multi-team data needs Hands-on experience with dbt, particularly projects with 50+ models in production Familiarity with orchestration tools such as Airflow, Prefect, or Dagster Knowledge of event streaming using Kafka, Pub/Sub, or similar technologies Expertise in data quality frameworks and observability tools Experience handling AI/LLM traces and usage data Python, SQL, BigQuery, Google Cloud Storage, Google Cloud Platform, PostHog, and a range of AI providers

Opportunity to shape and own a critical data platform in a fast-growing, product-driven environment Competitive salary with room for growth Modern office space in Barcelona (Poblenou) Hybrid work model: at least 2 days per week in the office for collaboration, 3 days WFH for focused tasks Access to all AI tooling you wish to experiment with Subsidized Urban Sports Club membership (including yoga, HIIT, and more) Additional salary benefits via Playflow About Joppy#J-*****-Ljbffr

One of the companies we partner with at Joppy is looking to hire a Senior Data Engineer to architect, build, and own a mission-critical data infrastructure from the ground up. This is a greenfield opportunity for someone deeply AI-native who understands that exceptional data foundations unlock the next phase of AI-driven growth. Design end-to-end data architecture, from raw data ingestion to clean, analytics-ready models Build robust data pipelines to ingest information from multiple systems, including product, CRM, finance, marketing, and AI event traces Model core data entities to provide a consistent source of truth for all teams Establish and maintain data quality, monitoring, testing, and alerting for trust in data outputs Develop the foundational data layer needed for scalable, reliable AI initiatives Instrument product usage analytics, including events, funnels, and retention metrics