Data Engineer (f/m/d)
Core
Design, build, and maintain scalable cloud-based data pipelines and architectures to transform machine and process data into business insights for digital products.
Role type
Senior Cloud/AI/ML Architect (Data Engineering)
Builds
Scalable data pipelines, ingestion processes, transformation workflows, and cloud-based data architectures
Domain
Industrial machinery / Mechanical engineering / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python/Pandas, Spark, Azure Data Factory, Data modeling, DataOps, MLOps, CI/CD, Git, Terraform/Azure Bicep
Preferred skills
Databricks, Microsoft Fabric, AWS, GCP
Technologies
Azure, AWS, GCP, Databricks, Microsoft Fabric, Spark, Azure Data Factory, Terraform, Azure Bicep
Responsibilities
Design and maintain scalable data pipelines and ingestion processes; Develop and optimize cloud-based data architectures and data models; Ensure data quality and reliability via DataOps and MLOps practices; Collaborate with stakeholders to deliver high-quality data products; Drive innovation by evaluating new technologies and optimizing cloud costs
Seniority
Senior, hands-on IC