Product Data Engineer

Barcelona - Spain

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

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 youre 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

Remote Work :

Yes

Employment Type :

Full-time

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...