About the company
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft, making it the financial technology platform of choice.
Responsibilities
- Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand requirements and craft effective solutions
- 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
- Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability
- Ensure data is accurate, complete, reliable, relevant, and timely
- Implement testing, monitoring and validation protocols for code and data, leveraging tools such as Pytest
- Identify and resolve performance bottlenecks in data pipelines and systems
- Improve query performance and resource utilization to meet SLAs, using Spark optimizations
Requirements
- 6+ years of experience as a Senior Data Engineer, ideally in a fast-paced, product-focused setting
- Skilled in Data Engineering tools and languages such as Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git
- Strategic executor able to break down complex problems, prioritize effectively, and lead impactful projects
- Excellent communicator in English who can deal with ambiguity and collaborate with diverse stakeholders
- Curious and scalable mindset with a drive to iterate and improve
- Skilled in promoting a data-centric culture within technical teams
Conditions
- Based out of the San Francisco office
- Office-first company; no remote-only roles
- Annual base salary range: $198,000 – $293,000, plus RSUs