Data Engineer

Job Description

Adyen is seeking a Data Engineer II to join their team in Amsterdam. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft, making it the financial technology platform of choice.

The Data Engineer II will play a crucial role in maintaining Adyen's data infrastructure and ensuring smooth data flows across systems. This role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on a Big Data Platform.

What this role involves:

• Collaborating with stakeholders to understand requirements and craft effective solutions.
• Designing, developing, deploying, and operating high-quality production ELT pipelines and data architectures.
• Integrating data from various sources and formats, ensuring compatibility, consistency, and reliability.
• Establishing and sharing best practices in performance, code quality, data validation, data governance, and discoverability.
• Ensuring data accuracy, completeness, reliability, relevance, and timeliness.
• Identifying and resolving performance bottlenecks in data pipelines and systems.

Requirements for this role:

• Around 3 years of experience working as a Data Engineer or in a similar role.
• Solid understanding of both Software and Data Engineering practices.
• Proficiency in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
• Ability to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
• Capable of identifying opportunities, devising solutions, and handling projects independently.
• Experimental mindset with a ‘launch fast and iterate’ mentality.
• Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.