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 - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

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. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

This is Compliance Data

Adyen seeks a Data Engineer to join our Compliance Data team in Amsterdam. This team is part of Adyen’s Data Solution to enhance our risk management strategy for our customers. We are here to set a new status quo on how we can build a data driven approach to manage risk, while simultaneously having a direct impact on reducing those risks through technology. Therefore we’re looking for a trailblazer with an entrepreneurial mindset to innovate, tinker and craft scalable data solutions from the ground up.

What you’ll do

• Develop High-Quality Data Pipelines: Design, develop, deploy, and operate ETL/ELT pipelines in PySpark. Your work will directly contribute to the creation of visually stunning reports, analytics, and datasets for both internal and external use.
• Collaborative Solution Development: Partner with compliance teams, engineers, and data analysts to understand data requirements and transform these insights into effective data pipelines.
• Orchestrate Data Flow: Utilize orchestration tools to manage data pipelines efficiently, experience in Airflow is a significant advantage.
• Champion Data Best Practices: Advocate for performance, code quality, data validation, data governance, and discoverability. Ensure that the data provided is accurate, performant, and reliable.
• Ensure Code Quality: Implement rigorous testing protocols for your code, with experience in Pytest being highly valued.
• Knowledge Sharing and Training: Scale your knowledge throughout the organization, enhancing the overall data literacy.

Who You Are

• Experienced in Big Data Technologies: You bring at least 3 years of hands-on experience, with a focus on ETL/ELT development, ideally in PySpark and Airflow.
• Technically Proficient: You have a strong command of Python and SQL, coupled with a good understanding of software engineering and data engineering principles.
• A Clear Communicator: You excel in articulating complex data-related concepts and outcomes to a diverse range of stakeholders.
• Self-starter: You are able to independently recognise areas of opportunity, figure out solutions, and build with a launch quick and iterate mentality. A strong background in statistics, mathematics, or engineering is a plus.
• Skilled in the following tools/languages: Git, S3, AirFlow, Docker, Python, SQL. Looker is a plus.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

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.