# Supply Chain Data Engineer & Integration Manager

**Company**: Adyen
**Location**: Amsterdam
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/adyen/jobs/8105603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_197db3b7-25d

## Description

Adyen is looking for a Supply Chain Data Engineer & Integration Specialist to join their team in Amsterdam. This high-impact role is positioned at the center of their operational systems landscape.

You will own the technical architecture and data pipelines connecting their new Enterprise Performance Management (EPM) platform, Pigment, with their broader enterprise layers (Workday, Salesforce, Big Data Platform, Looker) and their global third-party logistics (3PL) warehouse networks.

**Responsibilities**

- Build & Maintain Data Pipelines: Architect, implement, and monitor robust, production-grade data pipelines that feed planning platforms, ensuring clean operational data reliably reaches Pigment.

- Industrialize POC Integrations: Take 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, Salesforce, 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.

- Drive Data Quality & MDM: Work closely with the Central Data Platform team to enforce Master Data Management (MDM) at source systems.

- Support Global Expansion: Serve as the technical integration lead for global warehouse expansions.

**Requirements**

- 4+ years of experience in data engineering, backend integration development, or 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 with a focus on pipeline resilience, automated alerting, and comprehensive testing.

- Familiarity with AI models and embedding AI usage in daily work.

## Skills

### Required
- data engineering
- backend integration development
- systems integration
- SQL
- Python
- Apache Airflow
- PySpark
- API integrations
- REST
- SOAP
- JSON
- XML
- CSV
- Master Data Management

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/adyen/jobs/8105603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)