Product Data Engineer at Docplanner

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.