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Supply Chain Data Engineer & Integration Manager

Pay
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Work setting
Working pattern needs review — work setting source
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.
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Employment
Not stated

What you’ll work on

Full posting
  • Build and monitor production-grade data pipelines feeding Pigment planning

  • Turn POC prototype connections into scalable, secure enterprise integrations

  • Integrate Pigment with Workday, Salesforce, Big Data Platform and Looker

  • Build integrations with 3PL warehouse systems and logistics partners such as DHL

  • Lead technical integration for global warehouse expansions

From the employer’s posting
Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms
Take our initial automated prototype connections and harden them into scalable, secure, and production-ready enterprise integrations.
Establish and maintain seamless system-to-system connections linking Pigment with Workday (Finance & Procurement), Salesforce (CRM), Big Data Platform, and reporting interfaces (Looker).
Build and maintain direct integrations with external warehouse management systems and global logistics partners (e.g., DHL APIs)
Serve as the technical integration lead for our global warehouse expansions

What you’ll bring

All qualifications

Core experience

  • You have 4+ years of experience in data engineering, backend integration development, or a systems integration role.
  • You have deep experience building API integrations (REST, SOAP), handling data transformation formats (JSON, XML, CSV), and managing enterprise connectors.
Qualification wording
You have 4+ years of experience in data engineering, backend integration development, or a systems integration role.
You have deep experience building API integrations (REST, SOAP), handling data transformation formats (JSON, XML, CSV), and managing enterprise connectors.
Apply at Adyen

Posting record

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Status in our records
Live
First seen by us
Aug 31, 202665 days ago
Recorded sightings
78
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 65

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
  • Airflow
  • PySpark
Where the posting names them
- You are highly motivated, proactive, and a natural problem solver with an eagerness to master supply chain, financial, and warehouse logistics systems. - You are highly proficient in database structures, SQL, and programming languages commonly used in data pipelines (e.g., Python, Apache Airflow, PySpark). - You have deep experience building API integrations (REST, SOAP), handling data transformation formats (JSON, XML, CSV), and managing enterprise connectors.

Your next step

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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

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.

Supply Chain Data Engineer & Integration Specialist, Amsterdam

Adyen is looking for a Supply Chain Data Engineer & Integration Specialist to join our team in Amsterdam. This high-impact role is positioned at the center of our operational systems landscape. You will own the technical architecture and data pipelines connecting our new Enterprise Performance Management (EPM) platform, Pigment, with our broader enterprise layers (Workday, Salesforce, Big Data Platform, Looker) and our global third-party logistics (3PL) warehouse networks.

This is an exceptional opportunity to build sustainable, long-term technical capability within our Supply Chain function. You will lead the technical integrations for upcoming warehouse expansions in key growth markets, directly enabling business expansion.

What you’ll do

  • Build & Maintain Data Pipelines: Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms, ensuring that clean operational data reliably reaches Pigment in the exact shape required.
  • Industrialize POC Integrations: Take our initial automated prototype connections and harden them into scalable, secure, and production-ready enterprise integrations.
  • Integrate Key Enterprise Systems: Establish and maintain seamless system-to-system connections linking Pigment with Workday (Finance & Procurement), Salesforce (CRM), Big Data Platform, and reporting interfaces (Looker).
  • Connect Logistics Networks (3PLs): Build and maintain direct integrations with external warehouse management systems and global logistics partners (e.g., DHL APIs) to support real-time inventory tracking and automated stock reconciliation.
  • Drive Data Quality & MDM: Work closely with the Central Data Platform team to enforce Master Data Management (MDM) at the source systems before data flows into down-stream planning modules.
  • Support Global Expansion: Serve as the technical integration lead for our global warehouse expansions, ensuring robust local warehouse configurations from day one.

Who you are

  • You have 4+ years of experience in data engineering, backend integration development, or a systems integration role.
  • You are highly motivated, proactive, and a natural problem solver with an eagerness to master supply chain, financial, and warehouse logistics systems.
  • You are highly proficient in database structures, SQL, and programming languages commonly used in data pipelines (e.g., Python, Apache Airflow, PySpark).
  • You have deep experience building API integrations (REST, SOAP), handling data transformation formats (JSON, XML, CSV), and managing enterprise connectors.
  • You bring an architectural mindset. You naturally engineer for pipeline resilience, including automated alerting, transaction retries, error-logging, and comprehensive unit/UAT testing.
  • You have a Data Governance and Architectural Mindset. 
  • You are a self-starter who actively seeks out inefficiencies, takes technical ownership of solutions, and delivers results without requiring constant hand-holding.
  • You can explain complex data architectures and pipeline failures clearly to operational planners and business stakeholders.
  • You are familiar with numerous AI models and embed AI usage in your daily work. 

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.

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Pay

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Location & working pattern

Amsterdam

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.
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