Requirements

Expected technologies

Python

AWS

Spark

Airflow

Optional technologies

Terraform

Databricks

Our requirements

• Minimum 6 years in data engineering roles
• Strong Python skills and ability to write clean, production-grade code
• Proven experience with the AWS cloud platform
• Practice with data storage and processing systems (ETL) and big data platforms (Redis, Elastic, Spark, Airflow)
• Experience in working with, planning, designing, and analyzing (big) data systems

Optional

• Experience in working with, planning, designing, and analyzing (big) data systems
• Computer Science or related degree
• Databricks knowledge

Your responsibilities

• Design, implement, and optimize large-scale data architectures to support global payment processing and analytics
• Develop and maintain high-performance data pipelines
• Collaborate with product, engineering, and business teams to translate complex requirements into scalable data solutions
• Optimize data storage, retrieval, and processing strategies
• Drive the adoption of best practices in data engineering, and architecture within cross-functional teams
• Mentor junior engineers and contribute to building a culture of technical excellence and knowledge sharing