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. The people of Adyen 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.
At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Data Engineer to join our development team in Amsterdam, a person that understands the business context and the data needs behind it, and knows how to implement 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 responsible for creating performant and high-quality ETL/ELTs and ensuring users have access to correct, accurate and performant data and insights. In this role, you will:
- Work with product teams, product specialists and data analysts, analyzing their data and transcribing their data needs that render into data pipelines.
- Design, develop, deploy and operate production ETL/ELT pipelines in PySpark.
- Build data products and tooling according to quality principles such as performance, code quality, data validation, data governance and discoverability.
- Establish and spread data analytics best practices across the organization.
- Organize data analytics related training sessions.
- Develop linters and other tooling bespoke 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 interest in data engineering practices and product knowledge, 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 are able to communicate complex outcomes with clarity over a wide range of audiences.
- Technology: Python and SQL are a must.
- Mentality: An experimental mindset with a launch fast and iterate mentality. A strong statistics/mathematics background 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!
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.
Please note that this role is a full-time position in Amsterdam. It will require a relocation in case you live outside of the Netherlands.
La fórmula de Adyen
Nuestra forma de trabajar se rige por los ocho principios de la Fórmula de Adyen.
Oportunidades laborales tecnológicas
Nuestros ingenieros están diseñando la primera plataforma de tecnología financiera que combina pagos, datos y servicios financieros. Estamos buscando a las personas más talentosas a la hora de solucionar problemas para ayudarnos a abordar un conjunto único de desafíos.