Product Data Engineer

Company Description:TuoTempo, part of the Docplanner group since 2019, develops the market-leading CRM solution dedicated to hospitals, medical centers, and health insurance providers. The platform manages and automates the entire patient journey, from the first request to follow-up, centralizing contacts, communications, and processes in a single modular system integrated with the software already used by the organization. Active in Italy, Spain, Mexico, Colombia, Brazil, and Chile, TuoTempo operates with a clear goal: to revolutionize interactions between healthcare organizations and patients, improve efficiency, reduce costs, and increase staff and patient satisfaction. Discover how we're reshaping healthcare delivery at tuotempo.com Embrace flexibility with our remote-first culture: Work entirely remotely from Italy or Spain, or collaborate in-person at our vibrant hubs in Bologna or Barcelona—we believe in empowering you to work where you thrive! Job Description:We are looking for a Product Data Engineer to own and evolve our data platform at the intersection of Backend, BI, and Product. This role is not purely analyst nor purely backend: it is a cross-functional ownership role responsible for ensuring that product data is reliable, well-modeled, and effectively consumed by BI and Product teams. You will design and maintain ETL pipelines, collaborate closely with Backend and BI teams, and act as a bridge between data producers and data consumers, enabling high-quality analytics and product decision-making.   Key Responsibilities Data Platform & Pipelines - Design, build, and maintain reliable end-to-end ETL pipelines orchestrated with Apache Airflow. - Integrate data from multiple sources (internal operational databases, third-party APIs, SaaS tools) into the Google Cloud Data Warehouse (BigQuery). - Design and evolve data models, warehouse schemas, and transformations to support scalable analytics and KPIs. - Ensure data quality, reliability, and observability through monitoring, validation, and alerting. Product & Analytics Enablement - Own the product data structure, mapping product features and behaviors to analytics-ready data models. - Define and maintain meaningful KPIs in collaboration with Product and BI. - Enable analytics for AI-powered product features, ensuring visibility on usage, performance, quality, and business impact. - Partner with Product, BI, and other stakeholders to gather requirements and deliver dashboards and reports . - Maintain clear and up-to-date documentation for data models, pipelines, and metrics. Backend ↔ BI Bridge & Ownership - Act as the primary bridge between Backend Engineering and BI, owning the flow from data production to analytics consumption. - Triage, analyze, and address BI requests related to data availability, correctness, performance, and modeling. - Collaborate with Backend Engineers on data contracts, schema evolution, and performance optimization, without owning core backend services. - Proactively identify and resolve data-related issues impacting BI and Product teams. Platform Health & Support - Own first-level monitoring and support for data pipelines and Airflow DAGs, ensuring timely resolution of failures. - Collaborate with BI and Backend teams to troubleshoot and resolve complex issues. - Continuously improve the stability, performance, and maintainability of the data platform.   Qualifications:Must-have - 2+ years of experience in Data Engineering or a similar role. - Hands-on experience designing, scheduling, and maintaining ETL pipelines using Apache Airflow. - Strong SQL skills and solid understanding of data warehousing concepts (preferably Google BigQuery). - Proficiency in Python for ETL development and automation. - Experience working in AI product environments, supporting data needs for AI features such as experimentation, monitoring, and analytics. - Experience integrating data from multiple sources (APIs, databases, flat files, external platforms). - Experience building dashboards or analytical views using BI tools (preferably Looker). - Familiarity with Google Cloud Platform (GCP) services. - Strong analytical and problem-solving skills. - Comfortable working in a cross-functional, ambiguous environment. - Strong communication skills and ability to collaborate with both technical and non-technical stakeholders. - Strong interest in product data and how data drives product decisions. Nice-to-have - Experience supporting BI teams in a production data environment. - Exposure to real-time or near-real-time data processing. - Familiarity with data privacy, security, and governance best practices. - Experience working in a product-centric or SaaS company. - Experience with conversational platforms or SaaS integrations (e.g. messaging, customer support tools).   What This Role Is (and Is Not) - ✅ Owns data pipelines, models, and analytics enablement - ✅ Acts as a bridge between Backend, BI, and Product - ❌ Does not own core backend services - ❌ Is not a pure BI or reporting-only role   Additional Information:✨ What we offer: We value a healthy work-life balance and long-term growth. Benefits vary by location, but here’s what you can expect: Shared benefits - 100% remote work, with the option to join our offices in Bologna or Barcelona - One extra day off for your birthday - Access to iFeel – our mental wellbeing platform Italy-specific - ️ €8/day meal vouchers – lunch is covered if you're in the Bologna office - Private health coverage via Metasalute - Access to the “Study in Action” platform for continuous learning and professional development  Spain-specific - ❤️ Comprehensive private health insurance with Adeslas - Flexoh – flexible compensation platform - Wellhub – gym & wellness network membership - Language courses