Supply Chain Data Engineer & Integration Manager
Adyen is hiring a Supply Chain Data Engineer & Integration Manager in Amsterdam, Netherlands. Level rates it ; you can apply on Adyen.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Pigment, Workday and Salesforce among its tools and skills.
- Level classes it as a senior role.
- Adyen has 247 other open roles on Level.
AI in this role
Supply Chain Data Engineer & Integration Manager responsible for architecting data pipelines connecting enterprise platforms and 3PL networks.
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.
How we rate this
Supply Chain Data Engineer & Integration Manager at Adyen rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where system integration was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
- Tell me about a project where master data management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, System Integration, ETL, Supply Chain, and Master Data Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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