data engineer in fintech

Adyen provides payments, data, and financial products in a single solution for customers such as Meta, Uber, H&M, and Microsoft. It operates as a financial technology platform focused on helping businesses achieve their ambitions.

*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

• Engage with data scientists, analysts, software engineers, product managers, and customers to understand requirements and craft effective solutions;
• Design, develop, deploy, and operate high-quality production ELT pipelines and data architectures;
• Integrate data from various sources and formats to ensure compatibility, consistency, and reliability;
• Help establish and share best practices for performance, code quality, data validation, data governance, and discoverability;
• Participate in mentoring and knowledge-sharing initiatives;
• Ensure data is accurate, complete, reliable, relevant, and timely;
• Implement testing, monitoring, and validation protocols for code and data using tools such as Pytest;
• Identify and resolve performance bottlenecks in data pipelines and systems;
• Improve query performance and resource utilization to meet SLAs and performance requirements using Spark optimizations.

• 3+ Years of experience working as a Data Engineer or in a similar role;
• Solid understanding of Software and Data Engineering practices;
• Proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git;
• Ability to communicate complex data-related concepts and outcomes effectively to diverse stakeholders;
• Ability to identify opportunities, devise solutions, and handle projects independently;
• Experimental mindset with a “launch fast and iterate” mentality;
• Ability to promote a data-centric culture and advocate for standards and continuous improvement.

• Office role based in Amsterdam;
• Office-first company with in-person collaboration; remote-only roles are not offered.