Staff Data Engineer

ts from their customers. It also gives confidence to agencies across the globe that Adyen is compliant with regulations such as Anti-money laundering (AML), Know Your Customer (KYC), GDPR, etc. It is a key driver of trust and satisfaction for all our merchants and partners.

As a Staff Data Engineer for Reporting, you will be working on the frameworks and strong data foundations that power reporting. You will work closely with a variety of stakeholders and platform and product teams across the company to understand key pain points and set a new standard for generating and delivering reports that areaccurate, reliable, timely, scalable, and user-friendly. You will bridge the gap between frontend, backend, data, and platform engineering functions to architect technical solutions that are scalable 10x and beyond.

What you'll do

• Architect and drive adoption of scalable and high-performance data pipelines and reporting framework components
• Continuously assess and improve existing data systems to enhance performance, reliability, and scalability
• Evaluate and integrate new data tools and technologies to optimize our data ecosystem
• Lead through influence by building strong relationships across the organization
• Proactively define and advocate best practices in terms of performance, code quality, data validation, data governance, and discoverability
• Guide and mentor other engineers in advanced data engineering and architectural principles, fostering a culture of learning, innovation, and excellence across teams
• Inspire distributed teams to achieve shared goals

Who you are

• Experience in Big Data: Proven track record of 10+ years in engineering, with at least 5 years in a Senior or Staff Data Engineering role, preferably with a focus on financial reporting and analytics products
• Technical Expertise: Deep understanding of distributed data systems, tools, and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git. Experience with backend engineering is a plus
• Data & Engineering best practices: Expert understanding of both Software and Data Engineering best practices and data governance methodology and frameworks
• Innovator: Excellent analytical skills and a strategic mindset to solve complex problems with a "launch fast and iterate" mentality
• Strong leadership and communication skills: Advocate for architectural decisions across teams and articulate complex data-related concepts and outcomes to a diverse range of stakeholders
• Self-starter: Capable of independently recognizing opportunities, architecting solutions, prioritizing, and owning projects

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.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.