Director of Growth Marketing (Paid Acquisition) – AI-Native Growth Builder | Remote Friendly
Barcelona, Spain (Remote)
2d ago
Product Data Engineer
Product Data Engineer
Requirements
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
Benefits
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
Original Advert
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.
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