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# HSO International - Data Engineer

- **Company:** Bedrijf: HSO
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Python (Programming Language), Microsoft Data Access Components, Microsoft Dynamics, Microsoft Software, Operational Data Store, Data Streaming, Enterprise Data Management, Enterprise Software Applications, Microsoft Fabric, Data Management, Data Pipelines, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c597f06337945840

## About the Role

* A minimum of five years of experience working with the Microsoft Data Stack.

 * A minimum of one year of hands-on experience working as a Data Engineer with Microsoft Fabric.

 * Proven experience designing and implementing enterprise data platforms.

 * Strong SQL expertise.

 * Strong Python development skills.

 * Experience working with Azure-based data services and modern cloud data architectures.

 * Hands-on experience with notebooks and infrastructure-as-code solutions.

 * Experience implementing Medallion and Lakehouse architectures.

 * Experience building and supporting production-grade data pipelines.

You are...

 * Ambitious and eager to learn.

 * Fluent in spoken and written English. Additional languages are a strong advantage.

 * Comfortable working with international colleagues and clients across different cultures and time zones.

 * Structured, quality-minded, and a strong communicator.

## Description

As Data Engineer you will be working on building, maintaining, and optimizing modern data platforms using Microsoft technologies. Your primary focus is on data engineering, platform development, integration, scalability, security and data enablement., * Design, build, and maintain scalable and secure enterprise data platforms.

 * Develop and optimize end-to-end data pipelines from multiple source systems to analytical and operational data stores.

 * Implement solutions using Microsoft Fabric and Azure Databricks.

 * Integrate Dynamics 365 data and other enterprise systems into centralized data platforms.

 * Ensure reliable data flows between source and target systems.

 * Build data products and datasets that are ready for reporting, dashboards, advanced analytics, and AI use cases.

 * Maintain high standards of data quality, integrity, governance, and performance.

 * Apply modern data architecture principles, including Medallion and Lakehouse architectures.

 * Work with notebooks and infrastructure-as-code approaches to automate and standardize deployments.

 * Collaborate with Solution Architects, Consultants, and client stakeholders to deliver data platform solutions.

 * Contribute to technical best practices and continuous improvement within the Data & AI practice.


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