Senior Data Engineer – Hardware & Supply Chain

We are looking for a Senior Data Engineer – Hardware & Supply Chain (Manufacturing) to join our Data Engineering & Analytics team. Your primary focus will be building the data infrastructure that powers Oura's hardware manufacturing operations — including production yield, device traceability, quality metrics, and supply chain data. Oura's hardware data is growing rapidly and is currently supported by a single engineer, creating significant risk and limiting our ability to scale. While HW/SC Manufacturing data engineering is your core domain, we expect and actively support team members growing into adjacent areas — such as quality testing analytics, firmware data, or broader platform engineering — as the team evolves.

- Design, build, and maintain data pipelines that ingest and process manufacturing data from Oura's hardware production processes — including device yield, assembly, traceability, and supply chain events.

- Build data models that give Operations, Hardware, and Supply Chain teams reliable, timely visibility into production performance and supply health.

- Integrate data from manufacturing execution systems (MES), ERP/supply chain platforms, and factory data sources into Oura's lakehouse.

- Own end-to-end data quality and reliability for Hardware/SC data — from factory ingestion to analytics-ready tables.

- Partner closely with Hardware Engineering, Operations, and Quality teams to understand data needs and deliver scalable data products.

- Ensure manufacturing data systems meet security, compliance, and data governance requirements.

- Contribute to reducing single-point-of-failure risk in Hardware data infrastructure.

- Expand data engineering support to Quality Testing and firmware data domains

- Contribute to broader lakehouse architecture using Apache Iceberg, Databricks, and dbt.

- Support the Data Mesh initiative by establishing HW/SC as an owned data domain.

- 5+ years of experience in data engineering, with exposure to manufacturing, operations, or supply chain data.

- Strong SQL and Python skills with a track record of building reliable production pipelines.

- Experience integrating data from manufacturing systems — MES, ERP (e.g., SAP, Oracle), factory IoT, or supply chain platforms.

- Ability to model manufacturing data: production lots, device traceability, yield events, and supply chain transactions.

- Experience running production data systems on AWS or equivalent cloud.

- Self-motivated, pragmatic, and able to manage your own work in a distributed team.

- Ability to collaborate effectively with Hardware and Operations stakeholders who may not have a data background.

- Hands-on experience with hardware manufacturing data at a consumer electronics or IoT company.

- Experience with device traceability, serialized manufacturing, or supply chain event modeling.

- Familiarity with Databricks, Apache Iceberg, or dbt.

- Exposure to Quality Testing data systems or firmware/device telemetry data.