Senior Data Engineer

KUBO is seeking a skilled Senior Data Engineer to join an international technology team for a 6-month engagement. In this role, you will focus on building robust data solutions for the insurance domain, leveraging advanced AI capabilities to process complex documentation and support machine learning initiatives.

Key responsibilities

• Design and develop scalable data pipelines using Microsoft Azure, Databricks, Python, and PySpark.
• Extract and process information from typed and handwritten insurance documents using Databricks AI tooling.
• Clean, validate, transform, and model data to support machine learning, analytics, and BI use cases.
• Build reliable datasets and maintain high-quality code through clean-code principles and thorough documentation.
• Collaborate with cross-functional stakeholders to translate business requirements into practical technical solutions.

Requirements

• Strong commercial experience as a Data Engineer with deep expertise in Microsoft Azure and Databricks.
• Very good knowledge of Python and practical experience with PySpark and Apache Spark.
• Proven ability to extract, process, and transform both structured and unstructured data.
• Solid understanding of data modelling principles for machine learning and advanced analytics.
• Fluent English communication skills and availability for a 6-month contract starting in October.

What we offer

• A focused, 6-month project engagement with the possibility of extension.
• The opportunity to work in a fully remote, international environment.
• Influence on technological solutions and product development within an agile team.
• Commitment to high engineering standards, including code reviews, test automation, and continuous integration.