Senior Data Engineer (start ASAP)

KUBO is seeking a skilled Senior Data Engineer to join an international technology team for a 6-month engagement. In this hands-on role, you will build robust data solutions for the insurance domain, leveraging Databricks AI capabilities and Apache Spark to process complex documentation.

Key responsibilities

• Design and develop scalable data pipelines using Azure, Databricks, Python, and PySpark.
• Extract and process data from typed and handwritten insurance documents using advanced AI tooling.
• Clean, validate, and model data to support machine learning, analytics, and BI use cases.
• Develop maintainable code following clean-code principles and contribute to regular code reviews.
• Collaborate with stakeholders to translate business requirements into practical technical solutions.

Requirements

• Proven commercial experience as a Data Engineer or in a similar technical role.
• Strong hands-on expertise with Microsoft Azure and Databricks.
• Advanced proficiency in Python and practical experience with PySpark.
• Solid understanding of data modelling principles for machine learning and analytics.
• Experience in writing unit tests and ensuring the reliability of data pipelines.
• Fluent English communication skills (B2 level or higher).

What we offer

• Fully remote work environment allowing you to work from any location.
• Engagement in a challenging international project within the insurance sector.
• Opportunity to work with modern data engineering tools and AI technologies.