Data Engineer - Industrial Data & AI Platforms
Core
Design and build scalable data pipelines and platforms to enable advanced analytics, machine learning, and AI use cases for industrial data environments.
Role type
Data Engineer (Industrial Data & AI Platforms)
Builds
Scalable ETL/ELT pipelines, data platforms, curated datasets, and reporting structures for industrial AI applications.
Domain
Industrial IoT, Manufacturing, Asset Management, Predictive Maintenance, Digital Twins
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, ETL/ELT pipeline development, Cloud data infrastructure (AWS/GCP/Azure), Time-series data handling, Data modeling, Data warehousing, Data governance practices, Metadata management, PowerBI
Preferred skills
Collibra, Industrial data environments, Digital twin concepts, Machine learning workflows
Technologies
Python, AWS, Google Cloud Platform, Azure, PowerBI, Collibra
Responsibilities
Design and maintain scalable ETL/ELT pipelines for industrial and operational data; Integrate heterogeneous data sources including IoT and legacy systems; Implement cloud data solutions for large-scale analytics; Prepare curated datasets for predictive maintenance and digital twin use cases; Support data scientists in building ML solutions; Create data models and reporting datasets for business users.
Seniority
Mid-Senior, hands-on IC
