Data Engineer
Core
Design and operate data infrastructure to ensure trustworthy, accessible, and scalable test-lab data for engineering, validation, and decision-making.
Role type
Senior Data Engineer (Industrial Test Lab)
Builds
Data pipelines, storage solutions, and integration layers for high-frequency lab data
Domain
Industrial testing / Battery manufacturing / Energy
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Cloud engineering (AWS/GCP), ETL/ELT frameworks (Airflow, dbt), Time-series data handling, CI/CD, Docker, API integration, Hardware communication protocols (OPC-UA, Modbus)
Preferred skills
Machine learning concepts, Domain knowledge in electrical/mechanical/chemical engineering, Sensor calibration understanding
Technologies
AWS Kinesis, Lambda, Redshift, GCP equivalents, Airflow, dbt, Parquet, Protobuf, Avro, Spark, Docker, Git
Responsibilities
Design and maintain data pipelines for high-frequency lab data; Integrate test equipment (battery cyclers, DAQ systems, PLCs); Develop ETL/ELT processes to transform raw to curated datasets; Build scalable data storage solutions (data lakes, time-series DBs); Implement data validation, anomaly detection, and quality monitoring; Automate data processing for reporting and analysis; Ensure data traceability, version control, and audit compliance; Troubleshoot data-related issues in test execution or equipment communication; Take ownership of data architecture and long-term data roadmap.
Seniority
Senior, hands-on IC with leadership potential
