B2B Sales
Core
Designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics, machine learning, and AI agent development.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data architectures, and optimized data models for analytics and operational use cases.
Domain
Industrial software, Data Engineering, AI/ML infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Spark, Databricks, ETL/ELT, Azure, Data modeling, Warehousing, Git, CI/CD
Preferred skills
Lakehouse architecture, MLOps, Unity Catalog governance, Streaming technologies, AI/GenAI, Power Platform
Technologies
Microsoft Azure, Databricks, Power Automate, Logic Apps, Azure Data Factory, Git
Responsibilities
Design and develop robust, scalable data pipelines; Build and manage data architectures and data models; Ensure data quality, governance, and security standards; Collaborate with Data Scientists and AI Engineers; Optimize data processing for performance and cost-efficiency; Integrate multiple data sources.
Seniority
Senior, hands-on IC
