Data Engineer (Python ETL)

We’re looking for an experienced Data Engineer (Python ETL Engineer) to join our team and lead the migration of data integration pipelines from Mulesoft and Informatica to Python-based solutions for a fintech company working with payment solutions.

Key Responsibilities

• Lead the design and implementation of ETL pipelines using Python to replace existing Mulesoft and Informatica solutions
• Architect robust, scalable, and secure data integration frameworks
• Implement ETL orchestration and monitoring systems to ensure data pipeline reliability
• Optimize data processing workflows for performance and efficiency
• Collaborate with DevOps, data teams, and stakeholders to deliver high-quality data solutions

Required Skills

• 4+ years of Python programming experience
• Strong ETL development experience (data extraction, transformation, loading)
• ETL orchestration and monitoring expertise
• Experience designing and implementing data pipelines at scale
  Proficiency with databases: PostgreSQL, MySQL, or MongoDB
  Strong understanding of data integration patterns and best practices

Nice-to-Have Skills

• Apache Airflow or similar orchestration tools (Luigi, Prefect, Dagster)
• Experience with Mulesoft
• Experience with Informatica products
• Familiarity with AI development tools (Claude Code, Gemini CLI)
• Experience with containerization (Docker) and orchestration platforms
• Knowledge of cloud data platforms (AWS, GCP, Azure)
• Leadership experience

What We Offer

• Fully remote work
• International team with clear processes
• Paid vacation, holidays, and sick leave