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# Azure Databricks Engineer

- **Company:** Stafide
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Microsoft Azure, Information Engineering, Data Systems, Python (Programming Language), SQL Databases, Data Streaming, YAML, Data Processing, Parallel Computation, Technical Debt, Pyspark, Bicep, Data Pipelines, Databricks
- **Published:** May 28, 2026
- **Apply:** https://www.careerjet.nl/jobad/nlf08483d1ca54dacc51d469b04ceb9237

## About the Role

* 8-10 years of overall professional experience, with strong expertise in Azure Databricks and Data Engineering.

 * Deep hands-on experience with Azure Databricks as the primary technology platform.

 * Strong proficiency in Python, PySpark, and SQL.

 * Proven experience building and managing streaming and batch data processing solutions.

 * Strong experience designing and maintaining scalable Databricks data models and architectures.

 * Solid understanding of Azure cloud services and YAML-based CI/CD pipelines.

 * Hands-on experience with Infrastructure as Code (ARM/Bicep).

 * Experience working within Agile methodologies and delivery environments.

 * Broader understanding of modern end-to-end data solution architectures is an advantage.

 * Strong communication and collaboration skills.

You Should Possess the Ability to:

 * Build scalable, high-performance, and reliable data processing solutions.

 * Design pragmatic and maintainable architectures while avoiding unnecessary complexity.

 * Manage multiple data workloads and parallel processing scenarios efficiently.

 * Troubleshoot, optimize, and improve complex data environments.

 * Make well-informed technical decisions in evolving architectural landscapes.

 * Collaborate effectively across engineering and business teams.

 * Drive continuous improvement with a strong quality-first mindset.

## Description

* Design, develop, and maintain scalable and reliable data processing solutions using Azure Databricks.

 * Build and manage robust streaming and batch data pipelines within complex Databricks environments.

 * Design and optimize data models to support scalable processing and performance requirements.

 * Manage multiple parallel data processing workflows using shared source datasets.

 * Develop and maintain data transformation logic using Python, PySpark, and SQL.

 * Implement and manage CI/CD pipelines using Azure and YAML-based configurations.

 * Utilize Infrastructure as Code (ARM/Bicep) for deployment and infrastructure automation.

 * Collaborate with cross-functional teams to ensure high-quality, maintainable, and reliable solutions.

 * Continuously improve system stability, performance, and engineering practices while minimizing technical debt.

 * Contribute actively within Agile teams to deliver scalable and sustainable data solutions.


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