About The Role

Join Agtonomy as a Lead Data Engineer (Analytics & Insights) and take ownership of transforming raw telemetry data into actionable insights for customers, partners, operations, engineering, and leadership. This hands-on role involves designing schemas, modeling metrics, and building React dashboards. You will also be accountable for the accuracy and trustworthiness of the metrics you produce.

Concevoir les schémas, modéliser les métriques et expédier les tableaux de bord React.
Définir les métriques qui comptent et transformer les questions floues en métriques fiables.
Établir la qualité des données, la validation, la lignée et la documentation.
Comfort working alongside a platform team that owns ingestion. You have experience collaborating with the teams developing the pipeline to ensure access to high quality, actionable data
Strong Python and at least conversational comfort in one system language (Go, Rust, TypeScript, C++)
7+ years building production data systems, with meaningful time on both data modeling and analytics delivery
Familiarity with semantic layers (dbt, Cube, MetricFlow, etc)
A track record of turning raw telemetry into metrics non-technical stakeholders actually use and trust. You’ve turned loose high-level ideas into actionable and reliable analytics
High standards for data quality. You've been the person on the hook when a customer-facing number was wrong, and you've built the systems that keep it from happening again
Deep SQL fluency and strong opinions about modeling time-series and event data. ClickHouse experience is a strong plus; comparable OLAP systems (BigQuery, Snowflake, Druid, Pinot) translate
Shipping experience in React. You've built analytics UIs or dashboards in a production web app and are comfortable owning the surface, not just the SQL behind it
Experience in robotics, IoT, fleet management, automotive, or any domain where diverse physical devices produce telemetry at scale
Experience building embedded analytics inside a product (customer-facing dashboards, not just internal BI tools)
Experience shipping data experiences in React Native or other mobile frameworks
Experience with ML-backed analytics — forecasting, anomaly detection, fleet health scoring, release regression detection

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