Senior Data Engineer

Chicago

Applications have closed

Adyen

End-to-end payments, data, and financial management in one solution. Meet the financial technology platform that helps you realize your ambitions faster.

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This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, 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.

Data Engineer

To maintain our competitive edge as we scale, we organize our work around goal-oriented groups, called streams which collaborate closely. They are comprised of both developers and people from commercial teams. This setup ensures you are able to provide input on how our products and services are built, and also have immediate feedback on the business impact of your work. In this role, you will:

  • Design, implement, and continuously expand data pipelines by performing pre-processing, cleaning and verifying activities
  • Pragmatically approach creation of new data pipelines or extending the existing ones
  • Work together with our Data Scientist’ in rolling out machine learning models to production
  • Ensure our data architecture is as scalable as the rest of our business

Who you are

  • Team player with strong communication skills, which means at Adyen: talk straight and clear
  • Fluency in Java, SQL and Python, as these are primary languages we do use
  • Superb knowledge of Map-Reduce concepts and relevant data modeling
  • Good know-how on how and when to apply lambda architecture or it’s alternatives
  • Good know-how on ways of integrating Machine Learning into real-world systems

Who We Are

Adyen is the payments platform of choice for many of the world’s leading companies, providing a modern end-to-end infrastructure connecting directly to Visa, Mastercard, and consumers' globally preferred payment methods. Adyen delivers frictionless payments across online, mobile, and in-store channels. With offices across the world, Adyen serves customers including Facebook, Uber, Microsoft, Spotify, Adidas, Bonobos and L'Oreal.

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.

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 out of our Chicago office. We have a hybrid workplace and value in-person collaboration; we do not offer remote-only roles. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Data pipelines Java Lambda Machine Learning ML models Pipelines Python SQL

Region: North America
Country: United States
Job stats:  10  0  0
Category: Engineering Jobs

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