Senior Scientific Data Engineer

📋 Description

• Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform
• Develop optimized data models and manage a data warehouse (or data lake) to support fast querying
• Collaborate with MLE to containerize and deploy ML models and build automated model retraining and
• Implement robust data quality checks, validation, and monitoring to ensure the integrity and
• Develop internal tools and APIs to facilitate data access for MLE and provide standardized

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
• Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure)
• Proven experience building and managing data workflows using an orchestration tool like Apache
• Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL
• Proficient with Git and standard DevOps practices

🎁 Benefits

• Excellent full-time benefits including comprehensive medical coverage, life and disability
• Support for your career development
• Diversity and inclusion are embraced
• Sustainability efforts towards carbon neutrality by 2025