Docplanner Product Data Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Product Data Engineer Full-time 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 Barcelonawe 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 heres 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 I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Product Data Engineer Barcelona, Spain Full-time I'm interested I'm interested

The role requires at least two years of experience in Data Engineering or a similar field. Candidates must have hands-on experience designing, scheduling, and maintaining ETL pipelines using Apache Airflow. Strong SQL skills and a solid understanding of data warehousing concepts, preferably with Google BigQuery, are necessary. Proficiency in Python for ETL development and automation is also required. Experience working in AI product environments to support data needs for AI features is essential, along with experience integrating data from multiple sources. Familiarity with Google Cloud Platform services and experience building dashboards or analytical views using BI tools like Looker are expected. Strong analytical, problem-solving, and communication skills are important for collaborating with technical and non-technical stakeholders in a cross-functional environment.