Supply Chain Data Engineer & Integration Manager
- Amsterdam, Netherlands
- Mid Level
- 4+ years
- Posted
Skills
Required
- data pipelines
- database structures
- SQL
- programming languages
- Python
- Apache
- Airflow
- PySpark
- API integrations
- XML
Preferred
- Salesforce
- Big Data Platform
- support real-time inventory tracking
Adyen, a leading global payment company, as a Supply Chain Data Engineer & Integration Specialist. In this high-impact role, you will own the technical architecture and data pipelines connecting our new Enterprise Performance Management platform with our broader enterprise layers and global third-party logistics warehouse networks. You will build and maintain data pipelines, industrialize POC integrations, integrate key enterprise systems, connect logistics networks, drive data quality and MDM, and support global expansion. This is an exceptional opportunity to build sustainable, long-term technical capability within our Supply Chain function.
Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms.
Responsibilities
- Establish and maintain seamless system-to-system connections linking Pigment with Workday, Salesforce, Big Data Platform, and reporting interfaces.
- Build and maintain direct integrations with external warehouse management systems and global logistics partners to support real-time inventory tracking.
Requirements
- You are a self-starter who actively seeks out inefficiencies, takes technical ownership of solutions, and delivers results without requiring constant hand-holding
- 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 have 4+ years of experience in data engineering, backend integration development, or a systems integration role
- You can explain complex data architectures and pipeline failures clearly to operational planners and business stakeholders
You have a Data Governance and Architectural Mindset
- You are highly motivated, proactive, and a natural problem solver with an eagerness to master supply chain, financial, and warehouse logistics systems
- You bring an architectural mindset. You naturally engineer for pipeline resilience, including automated alerting, transaction retries, error-logging, and comprehensive unit/UAT testing
You are familiar with numerous AI models and embed AI usage in your daily work
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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