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# Data Engineer

- **Company:** Page Personnel
- **Location:** AMSTERDAM, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Decision Support Systems, Python (Programming Language), Azure Data Lake, SQL Databases, Cloud Platform System, Delivery Pipeline, Git, Data Analytics, Data Pipelines, Databricks
- **Published:** August 7, 2026
- **Apply:** https://www.pagepersonnel.nl/job-apply/data-engineer/ref/jn-082026-7079482?lang=en

## About the Role

* 3 + years of experience in Data Engineering.
 * Experience with Python and SQL.
 * Experience with Azure Databricks, Azure Data Lake Storage and cloud-based data platforms.
 * Strong understanding of ETL/ELT processes, data modelling and optimisation techniques.
 * Experience working with Azure DevOps, Git or similar version control tools.
 * Professional working proficiency in Dutch, with the ability to communicate effectively with a wide range of stakeholders.

## Description

We are looking for a Data Engineer to design, develop and optimise scalable data solutions within a modern cloud-based environment. In this role, you will work closely with technical and business stakeholders to build reliable data pipelines, improve data quality and enable data-driven decision making across the organisation.

 * Functie
*

 * Samenvatting
*

 * Soortgelijke jobs

Toegevoegd 07/08/2026

 * Work with modern Azure and Databricks technologies.
 * Join a growing data team with strong development opportunities.

Over onze klant

Our client is a forward-thinking organisation operating in a complex and data-driven environment. With a growing emphasis on innovation and continuous improvement, they are seeking talented professionals who can help shape and support their evolving technology landscape.

Functie

 * Design, build and optimise ETL/ELT pipelines within Azure Databricks.
 * Develop and maintain scalable data integrations with internal and external systems.
 * Implement and manage modern data architectures and data models.
 * Monitor, maintain and improve data platform performance and reliability.
 * Build and support CI/CD processes and deployment pipelines.
 * Collaborate with analysts, engineers and business stakeholders to deliver data-driven solutions.


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