Senior Data Engineer

About the Position

Senior Data Engineer - Payments

At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You'll also work in creating and maintaining robust reporting solutions that provide concise, reliable, and trustworthy intelligence to our customers.

Responsibilities

• 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.

Requirements

• Fluent in English and Portuguese
• Solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments
• Highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, Git
• Available to work 3 days on site in São José dos Campos. Relocation package offered from 70km away from the city, if needed.

Nice to Have

• Interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business
• Mastery of the best engineering principles, consistently applied in day-to-day activities when building data pipelines
• Ability to communicate complex outcomes with clarity over a wide range of audiences
• Good understanding of the payments industry, with a focus on Brazilian market specificities

We Offer

• Opportunity to work in a dynamic and innovative environment
• Collaborative and inclusive culture
• Professional growth and development opportunities

About the Company

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. 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.

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.

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 São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.