Data Engineer

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team.

Adyen is looking for a Data Engineer II to join the team in Amsterdam. In this role, data and data artifacts are treated as first-class citizens that form the backbone of the business and product insights generated. The role requires a solid understanding of both the business context and its data needs, with a focus on building high-quality data pipelines on the Big Data Platform. As a Data Engineer at Adyen, you will be instrumental in maintaining data infrastructure and ensuring smooth data flows across systems.

What you’ll do

• Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
• Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability.
• Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.
• High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
• Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.

Who you are

• Experienced in Big Data: 3+ years of experience working as a Data Engineer or in a similar role.
• Data & Engineering practices: You have a solid understanding of both Software and Data Engineering practices.
• Technical Super Star: Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
• Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
• Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.
• Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality.
• Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.

We currently have roles available in the following teams:

• Protect ML
• Authentication
• Compliance Data Enablement
• Payments Pricing
• Docs Tooling

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.