Data Engineer (Operations & Manufacturing)
Core
Design, build, and support data pipelines moving operational and manufacturing data from facility systems into Google Cloud Platform, creating dashboards and monitoring tools to improve operational visibility.
Role type
Data Engineer (Operations & Manufacturing)
Builds
Data pipelines, dashboards, reports, and monitoring tools for operational visibility and pipeline health.
Domain
Manufacturing / Industrial IoT / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Python, Google Cloud Platform (BigQuery, Dataflow, Cloud Monitoring), pipeline design, production support, troubleshooting complex data flows, root cause analysis, data quality management.
Preferred skills
Node-RED, OSIsoft PI, industrial data historians, API integrations, Grafana, Looker, Power BI, Tableau, Dataform, Collibra, manufacturing or industrial environment experience.
Technologies
Google Cloud Platform, BigQuery, Dataflow, Cloud Monitoring, Node-RED, OSIsoft PI, Grafana, Looker, Power BI, Tableau, Dataform, Collibra, Python, SQL, Pandas, NumPy, Scikit-Learn, NodeJS.
Responsibilities
Design and build data pipelines for operational and manufacturing data; create dashboards and monitoring tools; develop alerting, logging, and automation solutions; troubleshoot pipeline failures and data quality issues; perform root cause analysis and implement reliability improvements; collaborate with global IT, operations, and business teams; maintain technical documentation and support procedures.
Seniority
Mid-level (2–5 years experience), hands-on IC