OKRA.ai is rapidly growing, and to make sure we continue our innovative work in developing state-of-the-art AI solutions in life sciences, we are looking for a new engineering colleague. As part of this team, you'll work on our Python data stack, which includes our data lake and processing pipelines. 

What will you be doing?

As our new data engineer, you will: 

• Design, develop, and maintain scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of data.
• Optimize and tune existing data infrastructure for performance, reliability, and scalability.
• Implement data governance and security measures to ensure the integrity and confidentiality of sensitive information.
• Work with cloud platforms to deploy and manage data solutions.
• Collaborate with cross-functional teams to understand business needs and provide data engineering support for various projects.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
• Stay current with industry trends and emerging technologies in data engineering and analytics.

Do you have what we are looking for?

• Proven experience as a Data Engineer, with a strong portfolio of data-related projects.
• Proficiency in modern Python programming
• Solid understanding of data modeling, database design, and ETL processes.
• Experience with one or more processing pipeline frameworks like Airflow, Kedro, Luigi or Argo Workflows
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Familiarity with data warehousing solutions and technologies.
• Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks is appreciated but optional. 
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Familiarity with version control systems, such as Git.
• Ability to come 3 days a week at the office in Leiden