Product Data Engineer

Description

Summary: TuoTempo is seeking a Product Data Engineer to own and evolve their data platform, acting as a crucial bridge between Backend, BI, and Product teams to ensure reliable product data and enable high-quality analytics. Highlights: 1. Cross-functional ownership role bridging Backend, BI, and Product 2. Design and maintain ETL pipelines using Apache Airflow and BigQuery 3. Focus on product data structure, KPIs, and AI-powered feature analytics **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