Data Engineer (Snowflake / SQL) @ AVENGA (Agencja Pracy, nr KRAZ: 8448)

We are looking for an experienced Data Engineer (Snowflake / SQL) to join a cross-functional technology team working on a modern data-driven platform supporting complex business processes within the life sciences sector.

In this role, you will be responsible for building and maintaining reliable data solutions, working with large and diverse datasets and ensuring that high-quality data is available for operational and analytical purposes.

• Several years of professional experience in Data Engineering or a similar role.
• Strong hands-on experience with SQL and Snowflake.
• Good understanding of data modelling, ETL/ELT processes and data integration.
• Experience working with large datasets and designing scalable data pipelines.
• Knowledge of data quality, validation and monitoring practices.
• Familiarity with cloud-based data platforms and modern data engineering concepts.
• Experience with version control and CI/CD practices.
• Knowledge of Python or another programming language would be an advantage.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a cross-functional and international environment.
• Good command of English.
• Availability and commitment to join the project on a long-term basis, with an expected availability of at least 12 months

We are looking for an experienced Data Engineer (Snowflake / SQL) to join a cross-functional technology team working on a modern data-driven platform supporting complex business processes within the life sciences sector.

In this role, you will be responsible for building and maintaining reliable data solutions, working with large and diverse datasets and ensuring that high-quality data is available for operational and analytical purposes.

,(Design, develop and maintain scalable data pipelines and data solutions., Work extensively with Snowflake and SQL to transform, integrate and manage data., Develop and optimize data processing workflows to ensure performance, reliability and data quality., Integrate data from multiple sources and support efficient data flows across systems., Implement data validation and quality checks to ensure consistency and accuracy., Collaborate with software engineers, analysts, business stakeholders and other data professionals., Troubleshoot data-related issues and identify opportunities for process and performance improvements., Contribute to data modelling, technical documentation and engineering best practices., Support the continuous improvement and automation of data processes.) Requirements: Python, SQL, Snowflake, ETL, CI/CD Additionally: Sport subscription, Private healthcare, International projects.