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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. Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day. Your Focus Areas We are currently expanding our platform capabilities. Depending on your expertise, your immediate focus will be driving one of these two key ecosystems: The OLAP Ecosystem: Scaling and optimizing our real-time analytical powerhouses (Druid, FastAPI, Java, Kafka). The Data Engineering Ecosystem: Designing and building data contracts, validation frameworks, optimization tooling, and robust Kafka ingestion pipelines. What You’ll Do You will balance building innovative new tools from scratch with relentlessly improving our existing infrastructure. This role is a perfect fit if you are passionate about: Scale: Developing and maintaining high-performance, distributed big data platforms. Distributed Systems: Working deeply with various flavors of databases, filesystems, and compute engines. Data Quality & Discoverability: Building tools that enhance metadata collection, data lineage, and platform-wide data quality. CI/CD & Infrastructure: Optimizing continuous release/deployment environments within a large-scale private cloud system. Streaming: Developing stream processing applications and frameworks to reduce time-to-insight for analysts and data scientists. Who You Are Python or Java Expert: 8+ years of experience with object-oriented programming. Collaborative Enabler: A strong communicator who thrives on building bridges between the teams you enable (analysts, data scientists) and the teams you depend on (infrastructure, security). Distributed Systems Architect: Proven experience developing and maintaining: Distributed compute/data systems (e.g., Spark, Trino, Druid, ClickHouse). Real-time and batch pipelines (Kafka, Spark Streaming) with a focus on user-friendliness and reliability. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.