Langdock is hiring a Product Data Engineer to own the path from raw data to trusted decisions. As our first dedicated data hire, you will sit between product and engineering, blending data engineering, analytics engineering, product analytics, and platform ownership.

You will not start from scratch: we already run a dbt transformation framework on ClickHouse, ingest product, billing, and customer data, and provide business-facing marts and Metabase dashboards. Your role is to turn these foundations into a reliable data system that the company can trust and build on.

What you will own - Make company metrics trustworthy by defining and modeling metrics, explaining how they are calculated, clarifying their limitations, and resolving inconsistencies. - Build a reliable model of product usage, translating raw application data into activation, adoption, retention, feature usage, and customer health insights. - Own the data platform in production: build and operate ingestion pipelines, warehouse models, data quality checks, deployment workflows, and monitoring to ensure data is accurate, fresh, observable, and available. - Partner with Product Engineers to help product squads understand usage, answer exploratory questions, evaluate changes, and identify opportunities or problems that aren’t obvious from individual conversations. - Improve product instrumentation by identifying blind spots and designing events and source data for reliable future analysis. - Serve core data consumers: enable Account Management, Revenue, and Finance to understand adoption and where the company make

Langdock is hiring a Product Data Engineer to own the path from raw data to trusted decisions. As our first dedicated data hire, you will sit between product and engineering, blending data engineering, analytics engineering, product analytics, and platform ownership.

You will not start from scratch: we already run a dbt transformation framework on ClickHouse, ingest product, billing, and customer data, and provide business-facing marts and Metabase dashboards. Your role is to turn these foundations into a reliable data system that the company can trust and build on.

What you will own - Make company metrics trustworthy by defining and modeling metrics, explaining how they are calculated, clarifying their limitations, and resolving inconsistencies. - Build a reliable model of product usage, translating raw application data into activation, adoption, retention, feature usage, and customer health insights. - Own the data platform in production: build and operate ingestion pipelines, warehouse models, data quality checks, deployment workflows, and monitoring to ensure data is accurate, fresh, observable, and available. - Partner with Product Engineers to help product squads understand usage, answer exploratory questions, evaluate changes, and identify opportunities or problems that aren’t obvious from individual conversations. - Improve product instrumentation by identifying blind spots and designing events and source data for reliable future analysis. - Serve core data consumers: enable Account Management, Revenue, and Finance to understand adoption and where the company make