Data Engineer – Pipelines & Integration *
Core
Build and maintain data pipelines (batch/streaming) from IoT to AI applications, integrating data into dashboards and ML platforms.
Role type
Data Engineer (Pipelines & Integration)
Builds
Data pipelines, IoT integrations, REST APIs, Kafka streams, ETL processes
Domain
Industrial IoT, AI/ML, Cloud/On-Premises Data Architecture
Deliverable
production ML models
Required skills
Kafka, Airflow, dbt, Python, Rust, SQL, API Design, Cloud Data Processing
Preferred skills
Industrial IoT data sources, Time-series databases, AWS/Azure IoT, DevOps/MLOps, Security Awareness
Responsibilities
Build and maintain batch/streaming data pipelines; Integrate IoT data into dashboards and ML platforms; Develop REST APIs, Kafka streams, and ETL processes; Optimize data architecture (On-Premises/Cloud) and ensure data quality; Manage Data Governance and documentation of data flows.
Seniority
Mid-Senior, hands-on IC
