Data Engineer - Financial Analytics

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 Finance Analytics

Adyen is looking for a Data Engineer to join our Finance Analytics team in Amsterdam. The team is part of Adyen’s Data Solution strategy to provide infrastructure to support financial data consumers in Group Finance and Merchant Finance. 

The team works on highly impactful projects that ensure Adyen’s financial information is complete, accurate and complied with global regulatory requirements. The team also helps financial stakeholders understand Adyen’s liquidity position to ensure smooth payout to our merchants. 

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 financial reports and datasets for various business stakeholders in Group Finance and Merchant Finance.
• Orchestrate Data Flow: Utilize orchestration tools to manage data pipelines efficiently, with experience in Airflow being a significant advantage.
• Ensure Code Quality: Implement rigorous testing protocols for your code, with experience in Pytest being highly valued.
• Collaborative Solution Development: Partner with project managers and business stakeholders to analyze data requirements and transform them into effective data pipelines.
• 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.
• Knowledge Sharing and Training: Share best Software Engineering / Data Engineering practices to help the team grow.

Who You Are

• Experienced in Big Data Technologies: You bring at least 4 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.
• Skilled in Orchestration Tools: Experience with data pipeline orchestration tools, particularly Airflow, is a plus.
• Problem solver: You are able to work with ambiguity, analyze the situation and create working solutions.
• Clear Communicator: You excel in articulating complex data-related concepts and outcomes to a diverse range of stakeholders.
• Quick learner: You can quickly grasp new tech and non-tech topics. You are curious and show enthusiasm for continuous learning in a dynamic environment. 

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.