Data Engineer with Snowflake and DBT – pharmaceutical industry

We are looking for a Data Engineer to join our project for one of the largest pharmaceutical companies.

In this role, you will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.

Your tasks

• Designing, developing, and maintaining scalable and efficient data pipelines and systems

• Building efficient data pipelines that handle large amounts of data in real-time

• Working collaboratively with AI scientists and data analysts to gather and analyze business requirements and ensure data solutions align with business needs

• Developing and maintaining data warehouse and ETL processes, ensuring data quality and integrity

• Implementing data security, data privacy, and compliance measures

• Performing data analysis, troubleshooting data issues, and providing technical support to end-users

• Continuously monitoring and optimizing data pipelines and systems to ensure optimal performance and scalability

Requirements

• At least 5 years of experience with a programming language focused on data pipelines

• Proficiency in SQL and experience with Snowflake's SQL syntax and capabilities

• Technical expertise with data modeling, data warehousing, and ETL processes (Data Vault)

• Familiarity with data integration tools (e.g., Talend, Informatica) and cloud platforms (e.g., AWS, Azure, GCP)

• Strong problem-solving skills and the ability to analyze complex data requirements

• Ability to optimize performance and troubleshoot issues in a cloud-based environment

• Excellent communication skills in Polish and English to collaborate with stakeholders and team members