Data Engineer / Python Developer

For our client, we are looking for an experienced Data Engineer / Python Developer to join an energy-sector project. The role focuses on designing, developing, and maintaining scalable data pipelines to support analytics and business intelligence. You will work closely with data architects and engineers to ensure reliable and high-quality data delivery.

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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