Data Engineer (Denmark)

Job summary

This role involves designing and developing scalable data systems to support large and diverse datasets, focusing on transforming complex data into actionable insights. You will work closely with data scientists and ML engineers in a collaborative environment.

Qualifications

• Strong backend development experience using Python, with a focus on clean and scalable architecture.
• Proficiency in frameworks such as FastAPI, Django REST Framework, or Flask.
• Solid understanding of SQL, database modeling, and query optimization.
• Hands-on experience with ETL/ELT pipeline development and maintenance.
• Experience integrating data from various sources including APIs and databases.
• Familiarity with distributed systems or large-scale data processing tools.
• Understanding of data governance, security, and quality principles.
• Exposure to cloud platforms like AWS, Azure, or GCP is a plus.
• Knowledge of Docker, Kubernetes, and CI/CD tools is advantageous.
• Experience in life sciences, biotech, or clinical data environments is a strong plus.
• Strong collaboration skills for effective teamwork in international settings.

Responsibilities

Benefits

• Design, build, and maintain scalable data pipelines across multiple environments.
• Integrate structured and unstructured data into data warehouses and data lakes.
• Collaborate with cross-functional teams to ensure data quality and accessibility.
• Develop and optimize ETL/ELT workflows for performance and reliability.
• Build and refine database schemas and data models.
• Implement data governance and compliance best practices.
• Monitor data systems for integrity and efficiency improvements.
• Competitive compensation package.
• Modern work equipment provided.
• Budget for professional development, including training and certifications.
• Opportunity to work on impactful projects in biotech and pharma.