Data Engineer (MId)

Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load data from multiple sources.  

Orchestrate and schedule workflows using tools such as Apache Airflow ensuring correct dependencies, retries, alerting, monitoring, and performance.  

Build and maintain data storage solutions, data warehouses and/or data lakes, ensuring data is properly modelled, organized and accessible for analytics and ML use cases. 

Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver clean, high-quality data in usable formats.  

Implement data validation, monitoring, and quality controls to guarantee data integrity, consistency and reliability. 

Contribute to productionizing machine learning pipelines — from raw data ingestion through feature engineering, training data preparation, and integration with ML workflows.  

Follow and promote CI/CD best practices for data code and infrastructure (version control, automated tests, deployments, infrastructure as code, etc.).