Senior Data Engineer

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.

We are seeking a high-impact Senior Data Engineer to join our Developer Experience (DevX) team in San Francisco. In this role, you will be the technical engine behind ensuring our merchants and partners experience a world-class platform integration. You are instrumental in building the scalable framework and high-reliability data sources that power intelligent insights, ensuring that integrating with our technology is not just easy, but a genuinely superior experience.

You will live and breathe the technical framework that allows us to scale integration intelligence across our business partners. By architecturing the framework and pipelines that surface proactive suggestions and collaborating with core development teams to maintain well-structured data sources, you will ensure our customer-facing products deliver reliable recommendations at scale. Ultimately, you will turn complex data into simple and understandable suggestions that make our technology intuitive and powerful for the developers who build on it.

• →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.
• →Quality 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.
• →Data best practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives.
• →High quality data and code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement 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. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations.

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.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.