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 Analytical 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.

We’re looking for an expert with deep knowledge in distributed systems, to focus on our internal Online Analytical Processing (OLAP) ecosystem. You’ll collaborate with Data and ML Engineers to continuously improve this ecosystem. You’ll also collaborate with other platform engineers to position this ecosystem properly within the larger Data/AI/ML Platform capabilities, powered by Hadoop, Kubernetes, Spark, Trino, Flink, and Ray.

What you’ll do

Your responsibilities will focus on building new tools and improving existing tooling within the Data Platform ecosystem. Key focus areas include:

• Performance at Scale: Develop and maintain high-performance OLAP systems, supporting multi-tenant query workloads and ingestion pipelines with real Big Data scale.
• Reliability: Work with system reliability in mind, ensuring high availability for business-critical analytical products through observability and engineering excellence.
• Productize the Platform: Build self-service tooling that enables Data Engineers and Analysts to independently manage their data assets and diagnose issues.
• Data Quality: Engineer automated frameworks to validate data integrity and leverage metadata-driven tools to enhance data discoverability, lineage, and cataloging across the ecosystem.
• Ecosystem Integration: Architect seamless integrations of the OLAP ecosystem with adjacent distributed systems (e.g. storage, messaging, and batch / stream processing systems)
• Efficiency & Governance: Monitor and optimize cluster resource-efficiency while making sure the platform adheres to global security and data privacy standards.

Who you are

• Fluency in Python and/or Java. Golang or Rust are also appreciated.
• Team player with strong communication skills
• Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc).
• Experience in OLAP technologies, like Druid, Clickhouse, Pinot, Doris, Starrocks, etc
• Experience in CI/CD pipelines, for code and infrastructure automation.
• Experience in Kubernetes 
• Experience in infrastructure and large-scale private cloud systems
• Additional experience developing and maintaining:
• Other distributed data and compute systems like Spark, Trino, etc
• Data modelling for databases
• Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality..

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.

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.

What you’ll do

You’ll be asked to both build new tools and improve the existing tooling. This role is perfect for you if you're passionate about few of the following:

• Develop and maintain scalable and high performance big data platforms.
• Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.)
• Identify opportunities to improve continuous release and deployment environments
• Build or deploy tools to enhance data discoverability through the collection and presentation of metadata
• Introduce and extend tools to enhance the quality of our data, platform-wide
• Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
• Develop streaming processing applications and frameworks
• Experience in infrastructure and large-scale private cloud systems

For the currently open positions, the immediate focus will be the OLAP ecosystem (Druid, Clickhouse, Pinot), or the Data Engineering ecosystem (Data contracts, validations, optimization tooling, kafka ingestion tooling).

Who you are

• Fluency in Python. An addition of Java, Golang, or Rust is also appreciated.
• Team player with strong communication skills
• Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc).
• Experience developing and maintaining:
• Distributed data and compute systems like Spark, Trino, Druid, etc
• Data modelling tooling 
• DevOps pipelines and development ecosystems.
• Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality.
• Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos).

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.

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.

Enterprise Risk is a function in Adyen’s Second Line organization. The function manages a wide range of risk management topics ranging from Financial risk to Technology risk and from Strategic risk to Operational risk. The function has a key role in Adyen’s risk management framework and has a strategic and advisory role by independently challenging, overseeing, and advising the rest of the company. 

Senior Data Analyst - Risk

We're looking for a proactive, technical, and thorough Data Analyst to join our Enterprise Risk team in Amsterdam. As part of the Enterprise Risk team within Adyen’s Second Line, you will work alongside risk experts and data analysts to reimagine risk management through technology, embedding new functionalities that drive automation, optimization, and data-driven decision-making. Our mission is to empower Second Line (risk) teams with innovative solutions and actionable insights while building the foundation for an automated risk management landscape. 

While financial and risk acumen are a big plus, strong technical skills in data transformation, data governance, and automation are very important for this role. What sets you apart for this role are strong technical skills in data transformation, data analytics, and stakeholder management.

What you’ll do

• Build and scale; design the foundation of Enterprise Risk’s data capabilities and identify growth areas that multiply the effectiveness of the team.
• Develop, optimize and maintain our BI infrastructure on Looker using SQL and Python. 
• Create scalable solutions to risk management that ensure data accuracy, consistency, and accessibility.
• Drive the automation of manual risk assessment processes by identifying opportunities for optimization and implementing technical solutions to improve efficiency.
• Partner closely with the different teams in Enterprise Risk to understand their needs, leverage their expertise and capacity, and simplify complexity through smart, user-focused solutions.
• Liaise with other Data teams in the Second Line and leverage their expertise to apply to Enterprise Risk’s scope.
• Champion data governance and data quality by ensuring data integrity, security, and access control through best practices.

Who you are

• An experienced data professional with a proven track record of 5+ years in a (technical) data analyst, business intelligence, or similar role.
• Proficient in Python, SQL, PySpark, and BI tools (e.g. Looker). Experience with big data tools like Spark, Hadoop, Git, and Airflow is a strong advantage.
• You enjoy working in a high-paced, technology-driven environment where you may need to shift priorities.
• You work with intention, a strong sense of ownership, and a bias for action.
• You are comfortable talking straight and challenging the status quo, specifically with the ability to interact and collaborate with a variety of internal stakeholders from diverse disciplines and cultures.
• Self-motivated, proactive, and result driven, always searching for scalable ways to streamline and add value to the business with attention to detail and high quality results.
• You hold a track record of various initiatives and implementation of them.
• An excellent communicator and collaborator, with the ability to translate complex technical concepts into clear and actionable insights for both technical and non-technical audiences.
• Experience working with risk management, financial data, and banking are a big plus

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.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

CSQ427R82

As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and Databricks Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Neon and the wider Databricks ecosystem
• Provide best practices support for custom-built solutions developed by customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable 
• Experience of at least one of the following :
• Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python.
• Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidates must possess excellent English written and oral communication skills.
• Experience with the "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.