Data Engineer / Python Developer

Key Responsibilities:

• Design, develop, and maintain data pipelines using Python and PySpark
• Optimize data processing workflows for performance and scalability
• Ensure data accuracy, consistency, and quality across data platforms
• Participate in code reviews and contribute to data engineering best practices

Must-Have Requirements:

• Minimum 3 years of experience with Python (data engineering or backend)
• Strong understanding of ETL processes and data pipeline design
• Experience working with PySpark
• Fluent Lithuanian

Nice to Have:

• Experience with cloud data platforms (Azure, Microsoft Fabric)
• Familiarity with CI/CD pipelines and version control tools (e.g. Git)

We offer:

• Full remote
• B2B contract
• Salary is 4500-5000 EUR GROSS/month

Our Recruitment Process

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening Interview: A brief AI-assistant or interviewer-led interview to assess experience and role suitability.
• Shortlisting: Qualified candidates are presented to the hiring manager for review.
• Formal Interviews: Online discussions with the hiring manager or project team, with feedback provided within 1-2 weeks.
• Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.

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