TuoTempo - Product Data Engineer
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Requirements
• Must-have • 2+ years of experience in Data Engineering or a similar role. • Data Engineering • Hands-on experience designing, scheduling, and maintaining ETL pipelines using Apache Airflow. • Apache Airflow • Strong SQL skills and solid understanding of data warehousing concepts (preferably Google BigQuery). • Google BigQuery • Proficiency in Python for ETL development and automation. • Python • Experience working in AI product environments, supporting data needs for AI features such as experimentation, monitoring, and analytics. • AI product environments • Experience integrating data from multiple sources (APIs, databases, flat files, external platforms). • Experience building dashboards or analytical views using BI tools (preferably Looker). • Looker • Familiarity with Google Cloud Platform (GCP) services. • Google Cloud Platform (GCP) • 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
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. • bridge between Backend Engineering and BI • 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.
Benefits
• We value a healthy work-life balance and long-term growth. Benefits vary by location, but here’s what you can expect: • 🏡 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 • 🍽️ €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 • ❤️ Comprehensive private health insurance with Adeslas • 💪 Wellhub – gym & wellness network membership • 🌍 Language courses
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