About the role
We have 30 years of expertise in designing and building custom software systems. We provide software development services focusing on complex high-load applications, AI and BI solutions, and mobile apps. We are looking for a Data Engineer / ETL Developer to build and maintain reliable, scalable data pipelines supporting AI-driven drug discovery and computational research.
Responsibilities
•Design, develop, and maintain ETL/ELT pipelines using Python to process and transform data efficiently and reliably.
•Build and manage automated workflows using Apache Airflow, including scheduling, dependency management, monitoring, and error handling.
•Develop and maintain Docker-based environments to ensure consistent execution of data processing tasks.
•Integrate data sources, APIs, and computational tools into automated workflows.
•Improve pipeline reliability, scalability, and maintainability through testing, logging, and performance optimization.
•Collaborate with engineering and scientific teams to support data-driven research and AI-powered applications.
Requirements
•Strong Python programming skills and experience developing data processing or automation solutions.
•Hands-on experience with Apache Airflow or similar workflow orchestration tools.
•Practical experience with Docker and containerized applications.
•Hands-on experience with PostgreSQL and/or Snowflake.
•Understanding of ETL/ELT processes, data integration, and workflow automation.
•Ability to troubleshoot pipeline failures and build reliable, maintainable solutions.
Nice to have
•Experience with other workflow orchestration or workflow management tools.
•Familiarity with AWS cloud services.
•Experience with API design and integration.
•Knowledge of Kubernetes and GitOps practices.
•Experience developing AI-driven applications.
•Background in life sciences, computational chemistry, bioinformatics, or drug discovery.
Conditions
•Collaboration via a B2B contract with payments in USD or EUR, depending on your preference, or through a labor contract.
•Flexible work schedule.
•Possibility to work remotely.
•Opportunities for professional growth.
•A company laptop to ensure a comfortable and efficient work setup.
