Lead Expert - Data & AI Engineer
Core
Build and scale modern data platforms that power business and scientific innovation through robust data pipelines.
Role type
Lead Data Engineer / Associate Manager
Builds
Scalable data pipelines for data ingestion, transformation, and storage
Domain
Enterprise data engineering, cloud platforms, scientific datasets
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, PySpark, dbt, Databricks, Git, Azure DevOps, cloud platforms (Azure/AWS), CI/CD, infrastructure-as-code, data quality automation
Preferred skills
Team management, project delivery, scientific datasets, FAIR principles, data governance
Technologies
Azure, AWS, PySpark, dbt, Databricks, Git, Azure DevOps
Responsibilities
Lead design and implementation of scalable data pipelines; Provide technical guidance and drive engineering best practices; Develop modular data solutions; Manage data integration and ETL processes; Ensure data quality, reliability, and performance through automated testing; Collaborate with data scientists, modelers, BI developers, and business stakeholders
Seniority
Senior, hands-on IC with leadership responsibilities
