Senior Data Engineer

This is Adyen

Adyen provides payments, data, and financial products in an all-in-one solution for clients like Meta, Uber, H&M, and Microsoft - making us the preferred financial technology platform. At Adyen, everything we do is designed for ambition. 

We create an environment for our teams that offers opportunities for our staff to succeed, supported by a culture and backing that ensure they can truly own their careers. The people at Adyen are motivated individuals who take on unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses reach their ambitions faster.

Senior Data Engineer

At Adyen, we see data and data artifacts as top priority. They form our core and drive the business and product insights we generate. So, Adyen seeks a Senior Data Engineer to join our development team in Chicago, a person that understands the business context and the data needs behind it, and knows how to implement high-quality data pipelines on our Big Data Platform. Your pipelines will fuel stunning visuals, reports, and raw or refined datasets for internal or external use. You will be in charge of creating efficient and high-quality ETL/ELTs and ensuring users have access to accurate, correct, and efficient data and insights. In this role, you will:

• Work with product teams, product specialists, and data analysts, analyzing their data and documenting their data needs into data pipelines.
• Design, develop, deploy, and operate production ETL/ELT pipelines in PySpark.
• Build data products and tools according to quality principles such as performance, code quality, data validation, data governance, and discoverability.
• Establish and share data analytics best practices across the organization.
• Organize data analytics related training sessions.
• Develop linters and other tools specific to Adyen to help ensure a high-quality pipeline codebase.

Who you are

• You have experience building ETLs/ELTs, ideally in PySpark and Airflow.
• You have an interest in data engineering practices and product knowledge, more specifically in how to leverage the power of analytics into business.
• You have a good understanding of Software Engineering practices and Data Engineering principles.
• You can communicate complex outcomes with clarity to a wide range of audiences.
• Technology: Python and SQL are essential.
• Mentality: An experimental mindset with a "launch fast and iterate" mentality. A strong background in statistics/mathematics is a bonus.

Our Diversity, Equity, and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity, in terms of backgrounds and cultures, is essential in helping maintain our momentum. Our business and technical challenges are distinctive, 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 encourage you to be your true self at Adyen. 

Research shows that women and members of underrepresented communities apply for jobs only if they meet all the qualifications. Does this sound like you? If so, Adyen urges you to reconsider and apply. We look forward to receiving your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is vital to us. We aim to respond back to you about your application within five business days. Our interview process typically takes around four weeks to complete, but may vary depending on the role. Learn more about our hiring process here. Don't hesitate to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

This role is based in our Chicago office. We have a hybrid workplace and value in-person collaboration; we do not offer remote-only roles.