Senior Data Engineer

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 be the advocate of the core data products we offer, and you'll align product evolution and technical challenges aiming global-scale, with stakeholders located at every corner of the world.

What we expect from you:

• Global mindset: Work with stakeholders across countries and regions, and design solutions with global scale in mind, so our merchants are supported wherever they do business.
• Collaborative solution development: Partner with data scientists, analysts, software engineers, product managers and customers across our global offices to understand their needs and craft effective solutions.
• State-of-the-art pipelines and architecture: Design, develop, deploy and operate production ELT pipelines and data architectures that handle data from many sources and formats, at the scale of a global payments platform. Build for compatibility, consistency, reliability and scalability.
• Champion data best practices: Establish and advocate for best practices in performance, code quality, data validation, governance and discoverability across Adyen, mentoring and sharing knowledge with colleagues in different regions.
• High-quality data and code: Ensure data is accurate, complete, reliable, relevant and timely, with rigorous testing, monitoring and validation (for example, with Pytest), because our merchants and partners around the world depend on it.
• Performance optimization: Identify and resolve bottlenecks in pipelines and systems, optimizing query performance and resource use to meet SLAs at global scale, using caching, indexing, partitioning and other Spark optimizations.

Who you are

• You are fluent in English and Portuguese.
• Available to work 3 days on site in São José dos Campos. We offer a relocation package from 70km away from the city, if needed.
• You have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments.
• You're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git.
• You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business.
• You mastered 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.

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.