Data Engineer
Core
Design, develop, and maintain scalable data pipelines to support R&D teams, integrating digital tools from concept to launch and enabling AI, data science, and simulation use cases.
Role type
Senior Data Engineer (R&D)
Builds
Scalable data pipelines, data architectures, and datasets for model and algorithm development
Domain
Industrial R&D, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, ETL processes, data modeling, data governance, data quality validation, data lifecycle management, data architecture design, data ingestion, data harmonization, stakeholder collaboration
Preferred skills
Industrial data understanding, scientific data translation, POC/POV project execution, team technical guidance
Technologies
Apache Spark, Apache Flink, Beam, Databricks, Apache Airflow, Prefect
Responsibilities
Design and evolve data architecture, implement data quality and validation checks, map and govern R&D data, translate scientists' data requirements into datasets, define data roadmap for ingestion and utilization, participate in innovative POC/POV projects, ensure secure and compliant data management
Seniority
Senior, hands-on IC
