Data Solutions Engineer

This role focuses on designing, developing, and implementing data solutions to support business needs. The Data Solutions Engineer will work closely with stakeholders to understand requirements, translate them into technical specifications, and deliver robust and scalable data infrastructure.

Key Responsibilities:

Design and develop data pipelines for efficient data ingestion, processing, and storage.
Build and maintain data warehouses and data lakes.
Develop and implement data quality and governance processes.
Collaborate with data scientists and analysts to support their analytical needs.
Troubleshoot and resolve data-related issues.
Optimize data solutions for performance and scalability.

Requirements/Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
4-7 years of experience in data engineering or a similar role.
Strong understanding of data warehousing concepts and technologies.
Experience with data modeling and database design.
Proficiency in SQL and scripting languages (e.g., Python).
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Excellent problem-solving and communication skills.

About the Company: Lonza is a global leader in the life sciences industry. They partner with pharmaceutical, biotech, and nutrition companies to develop and manufacture innovative products that improve people's lives.