Data Engineer

We are seeking a highly skilled Data Engineer with expertise in Python and DataBricks to design, build, and maintain robust ETL pipelines and data solutions. In this role, you will work closely with cross-functional teams to transform business requirements into efficient, scalable, and reliable data workflows. This position offers a dynamic environment where you will contribute to innovative solutions, work with modern cloud technologies, and engage in agile delivery practices within an international, collaborative setting.

Key Responsibilities

• Collaborate with cross-functional teams to gather and understand data requirements.
• Design, develop, and deploy scalable ETL processes using Python and DataBricks.
• Own the end-to-end engineering lifecycle, including extraction, transformation, and loading of data.
• Create and manage data pipelines with robust error handling, monitoring, and performance optimization.
• Implement automation scripts and tooling to streamline workflows.
• Participate actively in agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.
• Conduct code reviews and maintain high-quality coding standards.
• Apply testing methodologies (unit, integration, etc.) to ensure reliability and performance.
• Integrate various data sources using REST APIs and related techniques.
• Maintain documentation including technical specifications and data flow diagrams.

Required Skills

Preferred Skills

Education

Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.

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