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.
As a backend engineer in the Data Solution, you will be building and scaling the brain behind the Adyen platform, with a focus on scaling access to the intelligence and capabilities businesses need to realize their biggest ambitions.
Currently we are looking for engineers to join our Feature Platform team. The team helps our merchants by enabling machine-learning powered products within the payment flow to discover, create and leverage complex features. This includes building data pipelines to create aggregations and a distributed storage layer that can serve such features in the real-time payment flow, globally.
We offer a unique opportunity to work on the industry cutting-edge: given the volume and constraints that come with near real-time decision-making, there is no industry-standard solution.
You will be part of a diverse and inclusive team.You will be working in a cross-functional and cross-border team with roles like Data Engineering, Data Science, Infra and Product.We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring code live that impacts many businesses and shoppers.You will be fully responsible from its initial design to bringing new functionality live.Identify and improve parts of the platform to make it more robust and scalable.Collaborate across teams and time zones to make things happen, review code and be open to feedback.Who you are:
You demonstrate hands-on experience in Apache Flink through your involvement in stream processing projects.You have proven experience working with JVM-based programming languages (e.g. Java, Kotlin, Scala), distributed systems and large-scale databases (both relational and/or non-relational).You balance pragmatism with going into detail and have a healthy degree of curiosity, engaging with the team to find unobvious solutions.You like taking ownership, leading projects and involving others, based on a solid understanding of the "why" behind it.You have great communication skills and the ability to articulate complex, technical concepts.We are an international team, so we need to be fully proficient (written and verbal) in English.Previous experience working on platform teams or with open-sourcing internal projects would be a plus!Our Tech Stack: Cassandra, Kafka, Flink, Spark, Python 3, Java 17, Gradle, PostgreSQL, and Elasticsearch.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 Madrid office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
#J-18808-Ljbffr
