Adyen

Supply Chain Data Engineer & Integration Manager

Listed by employer · Checked

Older posting · still listed ·

  • Workplace not specified
  • Data Analytics
  • Amsterdam
Work arrangement
Not stated
Employment
Not stated
Stated compensation
Not specified
Stated sponsorship
Not stated
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: greenhouseChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Minimum experience (years)
4
“You have 4+ years of experience in data engineering, backend integration development, or a systems integration role.”
See matched passage in original description ↓
10 fields not stated in this posting
Remote policy
Unclear
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified
Employment type
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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.
Read full descriptionShow less description
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.
Original formatting and links

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.

Similar roles

All Adyen jobs →

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job