Supply Chain Data Engineer & Integration Manager

About the Position

Supply Chain Data Engineer & Integration Manager

Amsterdam

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.

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Responsibilities

• 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.

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Requirements

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

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We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Be part of a diverse and inclusive team
• Professional development opportunities

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About the Company

At Adyen, we strive to create an accessible and inclusive experience for all candidates. 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!

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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.