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Staff Data Engineer

Posted 4 May 2025
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Work experience
10 to 15 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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Join Adyen as a Staff Data Engineer

This is Adyen

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.

Reporting

Reporting is a foundational pillar of Adyen’s product offering. It enables our broad portfolio of merchants to conduct business critical activities (e.g. financial reconciliation) and helps them optimize how they accept payments 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 are accurate, 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!

The Adyen Formula

The way we work is guided by the eight principles of the Adyen Formula.

Tech careers

Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.

We took an unobvious approach to starting a payments company, building a platform from scratch. Today, we're the payments platform of choice for the world's brightest companies. Our unobvious approach is a product of our diverse perspectives. This diversity, of backgrounds, cultures, and perspectives, is essential in helping us maintain our momentum.

Finance & Banking
Amsterdam
Active in 22 countries
1,700 employees
60% men - 40% women
Average age is 31 years