Product Data Engineer

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!

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.

 

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

 

✨ 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