Senior Data Engineer

<h2><strong>This is Adyen</strong></h2> <p>Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&amp;M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.&nbsp;</p> <p>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.</p> <h2><strong>Senior Data Engineer - Payments</strong></h2> <p>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.</p> <h2><strong>What you’ll do</strong></h2> <ul> <li><strong>Collaborative Solution Development</strong>: 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.</li> <li><strong>State-of-the-Art Pipelines and Architecture</strong>: 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.&nbsp;</li> <li><strong>Champion Data Best Practices</strong>: 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.</li> <li><strong>High Quality Data and Code:</strong> 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.</li> <li><strong>Performance Optimization</strong>: 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.</li> </ul> <h2><strong>Who you are</strong></h2> <ul> <li style="font-weight: bold;&quot