Data Engineer - Regulatory

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.

At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll play a critical role at Adyen by enabling our Regulatory teams by building and maintaining robust, scalable data pipelines based on requirements we have to keep Adyen compliant to regulator demands. You'll navigate across multiple stakeholders to collect, understand, and design features and components to create meaningful, accurate, complete information about our financial operations in a timely manner.

• Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions.
• State-of-the-Art Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures. 
• Champion Data Best Practices: Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing.
• High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest.
• Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Optimize query performance and resource utilization to meet SLAs and performance requirements, using technologies such as caching, indexing, partitioning, and other Spark optimizations.

• Availability to work 3 days in person on São José dos Campos (SP)
• You are experience in the data domain, with 4+ years of experience working towards building robust, scalable data environments
• You're proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git
• You have a solid understand of the best engineering principles, and you consistently apply them in your day-to-day activities when building data pipelines
• You are able to communicate complex outcomes with clarity over a wide range of audiences
• You foster the data centric culture within technical and non-technical teams, advocating for having business and product needs driven by data
• You're innovative; you don't hesitate while trying new things, and you're comfortable with the ‘launch fast and iterate’ mindset
• It's highly desirable that you're someone who's good a good understanding about the payments industry, with focus on Brazilian market specificities
• It's highly desirable that you're someone who worked in reporting domain, supporting a diverse audience of stakeholders (internal, external), and providing them needed information for their purposes

We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!

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.

This role is based out of our São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.