over 1 year ago
Amsterdam, NetherlandsMid Level
Responsibilities
- Collaborate with data scientists, analysts, software engineers, product managers, and customers to understand requirements and develop data solutions.
- Design, develop, deploy, and operate production ELT pipelines and data architectures.
- Integrate data from diverse sources and formats while ensuring compatibility, consistency, and reliability.
- Establish and share best practices for performance, code quality, data validation, governance, and discoverability.
- Implement testing, monitoring, and validation protocols for code and data using tools such as Pytest.
- Identify and resolve performance bottlenecks and improve query performance and resource utilization to meet SLAs.
Requirements
- 3+ years of experience working as a Data Engineer or in a similar role.
- Solid understanding of Software Engineering and Data Engineering practices.
- Proficiency with Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.
- Ability to communicate complex data concepts and outcomes to diverse stakeholders.
- Ability to identify opportunities, devise solutions, and manage projects independently.
- Experimental mindset with a launch-fast-and-iterate approach.
- Ability to promote data-centric culture, technical standards, and continuous improvement.
Benefits
- Role based in the Amsterdam office.
- Office-first work environment with in-person collaboration; remote-only work is not offered.
- Adyen provides a supportive environment focused on career ownership, collaboration, diversity, equity, and inclusion.
Tech Stack
Categories
Data Engineering
About Adyen
Adyen builds a unified payments and financial technology platform for large merchants and platforms, offering card processing, POS, mobile, and global acquiring, plus risk and data tools. It sells payment processing and related services directly to businesses, earning fees per transaction. Founded in 2006 and headquartered in Amsterdam, it is a public company listed on Euronext Amsterdam (AMS: ADYEN) with customers including Meta, Uber, and H&M.