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# Senior Data Engineer

- **Company:** LEVY PROFESSIONALS
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Software Quality, Continuous Integration, Information Engineering, Data Systems, Python (Programming Language), Software Construction, Azure Data Factory, Pytest, Pyspark, Data Management, Databricks
- **Published:** June 12, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=34e08c8c9f1ca681

## About the Role

Do you have experience in Python?, You are an experienced Data Engineer with a passion for building scalable, production-grade data platforms. You thrive in environments where engineering excellence, automation, and data quality are key priorities. With strong expertise in Databricks, PySpark, and Azure technologies, you enjoy designing high-performance data solutions, driving technical improvements, and mentoring fellow engineers while contributing to a culture of continuous improvement and collaboration., * Around 10 years of experience in Data Engineering with a strong track record of delivering production-grade data platforms

 * Extensive hands-on experience with Databricks, PySpark, and Python for large-scale data processing and orchestration
 * Strong experience with Azure Data Factory, Azure DevOps, CI/CD practices, and automated testing frameworks
 * Passionate about software engineering best practices, code quality, peer reviews, and maintainable solutions
 * Proven ability to mentor engineers, influence technical direction, and contribute to engineering excellence across teams

## Description

* Develop and maintain high-quality Python code while applying engineering best practices such as code linting, formatting, and type hinting
 * Contribute to automated testing frameworks using pytest to ensure reliability and maintainability of data solutions
 * Support and enhance CI/CD pipelines within Azure DevOps to enable robust and repeatable deployments
 * Collaborate with cross-functional teams to drive technical decisions, improve engineering standards, and mentor junior and medior Data Engineers


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