Avenga is seeking an experienced Data Engineer to join a cross-functional team dedicated to building a modern, data-driven platform for the life sciences sector. You will play a key role in developing reliable data solutions and managing large, diverse datasets to support critical business processes.
Key responsibilities
- Design, develop, and maintain scalable data pipelines and robust data solutions.
- Work extensively with Snowflake and SQL to transform, integrate, and manage complex data structures.
- Develop and optimize data processing workflows to ensure high performance, reliability, and data quality.
- Implement rigorous data validation and quality checks to maintain consistency and accuracy across systems.
- Collaborate with software engineers, analysts, and business stakeholders to troubleshoot issues and improve processes.
Requirements
- Several years of professional experience in Data Engineering or a closely related role.
- Strong hands-on expertise with SQL and Snowflake.
- Solid understanding of data modelling, ETL/ELT processes, and data integration techniques.
- Experience working with large datasets and designing scalable data pipelines.
- Proficiency in version control, CI/CD practices, and cloud-based data platforms.
- Strong analytical skills and the ability to work effectively in an international environment.
What we offer
- Opportunity to work on complex, high-impact projects within the life sciences industry.
- A collaborative environment that values engineering best practices and continuous improvement.
- Access to modern data engineering tools and cloud-based technologies.
- Professional development and the chance to contribute to technical documentation and architecture.