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Senior Data Engineer

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Work setting
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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 São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.
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Employment
Not stated

What you’ll bring

All qualifications

Core experience

  • 8+ years of experience building scalable data environments
  • Proficiency in Python, PySpark, SQL, Airflow, Spark, Kafka and Git
  • Fluent in English and Portuguese
  • Available to work 3 days on site in São José dos Campos
Qualification wording
+8 years of experience working towards building robust, scalable data environments
You're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git
You are fluent in English and Portuguese
Available to work 3 days on site in São José dos Campos
Apply at Adyen

Posting record

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Status in our records
Live
First seen by us
Sep 2, 202663 days ago
Recorded sightings
96
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 63

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,824 similar postings that came down. Coming down is not always a hire.

Adyen is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Hadoop
  • Kafka
  • Spark
  • Airflow
  • PySpark
Where the posting names them
- You have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments. - You're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git. - You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business.

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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Has Adyen posted this job before?

Yes. We’ve followed one other Senior Data Engineer job there since April 2026. It came down after 205 days.

  1. AmsterdamCame down after 205 days, first seen Apr 10
  2. This jobUp 63 days so far, first seen Sep 2

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

This is Adyen

At Adyen, payments, data and financial products come together in a single platform, trusted by companies like Netflix, Meta, Uber, H&M and Microsoft. And we’re only getting started: we keep expanding our financial solutions to support merchants wherever they do business. Everything we do is engineered for ambition.

We build teams where people can truly own their careers, with the culture and support to back it up. Here, you’ll work with colleagues across the world and face complex challenges you’ll only find at a leading global payments company. We’re a team that enjoys solving hard technical problems at scale, together, and delivering innovative, ethical solutions that help businesses reach their ambitions faster.

Senior Data Engineer - Payments

At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You’ll be the advocate of the core data products we offer, and you'll align product evolution and technical challenges aiming global-scale, with stakeholders located at every corner of the world.

What we expect from you:

  • Global mindset: Work with stakeholders across countries and regions, and design solutions with global scale in mind, so our merchants are supported wherever they do business.
  • Collaborative solution development: Partner with data scientists, analysts, software engineers, product managers and customers across our global offices to understand their needs and craft effective solutions.
  • State-of-the-art pipelines and architecture: Design, develop, deploy and operate production ELT pipelines and data architectures that handle data from many sources and formats, at the scale of a global payments platform. Build for compatibility, consistency, reliability and scalability.
  • Champion data best practices: Establish and advocate for best practices in performance, code quality, data validation, governance and discoverability across Adyen, mentoring and sharing knowledge with colleagues in different regions.
  • High-quality data and code: Ensure data is accurate, complete, reliable, relevant and timely, with rigorous testing, monitoring and validation (for example, with Pytest), because our merchants and partners around the world depend on it.
  • Performance optimization: Identify and resolve bottlenecks in pipelines and systems, optimizing query performance and resource use to meet SLAs at global scale, using caching, indexing, partitioning and other Spark optimizations.

Who you are

  • You are fluent in English and Portuguese.
  • Available to work 3 days on site in São José dos Campos. We offer a relocation package from 70km away from the city, if needed.
  • You have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments.
  • You're highly proficient in programming languages and tooling, such as: Python, PySpark, SQL, Airflow, Hadoop, Spark, Kafka, SQL, Git.
  • You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics into business.
  • You mastered the best engineering principles, and you consistently apply them in your day-to-day activities when building data pipelines.
  • You are able to communicate complex outcomes with clarity over a wide range of audiences.

Data positions at Adyen

We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!

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 São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.

Source details

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Location & working pattern

Sao Jose dos Campos

- You are fluent in English and Portuguese. - Available to work 3 days on site in São José dos Campos. We offer a relocation package from 70km away from the city, if needed. - You have solid experience in data domain, with +8 years of experience working towards building robust, scalable data environments.
More source context
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 São José dos Campos office. We are an office-first company and value in-person collaboration; we do not offer remote-only positions.
Work authorization
Senior Data Engineer - Payments At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You’ll be the advocate of the core data products we offer, and you'll align product evolution and technical challenges aiming global-scale, with stakeholders located at every corner of the world. What we expect from you:

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