Data Engineer

Key Responsibilities:

• Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
• Design, build, and maintain SQL procedures and datasets reflecting business logic
• Develop and automate data pipelines using Apache Airflow
• Write clean, standardized Python and SQL code following best practices
• Identify and resolve data quality or performance issues

Must-Have Requirements:

• 4+ years of hands-on experience in Data Engineering
• Strong knowledge of SQL (4+ years), Python, and Git
• Proven experience with Apache Airflow for pipeline automation
• Understanding of SDLC principles and version control
• Excellent communication and collaboration skills in English

Nice to Have:

• Experience with Sybase or other enterprise databases
• Background in banking or financial data environments

We offer:

• Full remote
• B2B contract
• Salary is 4500-5500 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.

Information about the processing of your personal data is provided in our Privacy Policy, which is available online at