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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.
This is Data Solution
We are hiring software engineers for our Data Solution in Amsterdam. Adyen's Data Solution strategy is multifold. Data forms our backbone and drives the business and product insights we generate. Our teams in Amsterdam use the power of data to detect & prevent fraud, to optimize payments transactions, build tools to enable ease of scalability, and enrich our onboarding & transaction platforms with key information metrics.
We believe in the transformative power of data. Data is not just a byproduct; it's our driving force, shaping the way we understand our business and deliver innovative solutions to our customers. Within Data Solution, you'll tackle high-impact projects that all revolve around understanding our customers and tailoring our payment flow at scale. These include developing for risk management engines, routing & validations in the payments flow, integrating machine learning models to merchant facing products, innovating for scale by using experimentation and feature platfroms. You'll work closely with backend engineers, frontend engineers, data scientists, data analysts and data engineers. At every step, you will also collaborate with our UX and product teammates to quickly iterate across every phase of the product life cycle.
Software Engineer in Data
As a Software Engineer in Data, you will be building and training the brain behind the Adyen platform, with a focus on scaling access to the intelligence and capabilities businesses need to realize their biggest ambitions. We are looking for a curious software engineer who understands the business context and the data needs behind it, and knows how to design and implement quality software for other teams and/or for our customers. Your role is pivotal in advancing our data-driven initiatives and contributing to the creation and enhancement of our dynamic data product suite. You will work on highly available services, using a blend of technologies to find the optimal trade-offs between latency, recency, quality, and reliability.
What you'll do:
Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Offer support and technical guidance in software architectural discussions. Identify and improve parts of the platform to make it more robust and scalable Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. Build data products and tooling according to quality principles such as performance and code quality Collaborate across teams and sometimes across time zones to get projects over the finish line. Establish and spread best coding solutions across the Data Solution and beyond. We work hybrid, meaning you'll work at least 3 days per week from the office. This is a full-time position.Who you are:
You have excellent communication skills and the ability to articulate complex technical concepts in front of different stakeholders You have experience with Core Java, web services, REST APIs and SQL/PostgreSQL Knowledgeable of various software architecture paradigms such as event-driven or message queueing systems You have experience in deploying on containers. You have a good understanding of Software Engineering practices and interest in product knowledge. You are familiar with complex large scale distributed systems You like to challenge the status quo and ask the 'why' question You enjoy working in a cross-functional team with roles like Data Science, Frontend, and Product You have a sharp eye for detail, and know how to balance precision with pragmatism You love learning new things and can make good choices based on thorough research You value involving other people to hear different perspectives You have an experimental mindset with a launch fast and iterate mentality. Experience with Machine Learning is a plus.-
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