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# Azure Databricks Engineer (ID

- **Company:** STAFIDE
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Information Engineering, Data Systems, Python (Programming Language), Scaled Agile Framework, Software Engineering, SQL Databases, Data Streaming, YAML, Data Processing, Technical Debt, Infrastructure as Code (IaC), Pyspark, Bicep, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.adzuna.nl/details/5878715335

## About the Role

* 8+ years of overall professional experience in data engineering/software engineering.
 * Strong hands-on experience with Azure Databricks as a core technology.
 * Deep expertise in Python, PySpark, and SQL.
 * Proven experience designing and managing data processing solutions within Databricks.
 * Strong experience handling both streaming and batch data.
 * Experience designing data models specifically for Databricks-based processing environments.
 * Solid experience with Microsoft Azure cloud services.
 * Hands-on experience with CI/CD pipelines using YAML.
 * Experience with Infrastructure as Code, particularly ARM/Bicep.
 * Experience working in an Agile environment.

You should possess the ability to:

 * Build stable, scalable, reliable, and maintainable Databricks solutions.
 * Apply strong problem-solving and analytical skills to complex data-processing challenges.
 * Make well-founded technical decisions in complex and evolving architectures.
 * Work effectively with large-scale batch and streaming data processes.
 * Manage and coordinate multiple parallel data-processing workloads.
 * Identify and address technical debt proactively.
 * Continuously improve data-processing solutions and engineering practices.

## Description

* Design, develop, and maintain robust and reliable data processing solutions using Azure Databricks, Python, and PySpark.
 * Build and manage both batch and streaming data processing workflows within Databricks.
 * Design appropriate data models and processing architectures within the Databricks environment.
 * Manage multiple parallel data processes working on shared source data.
 * Develop scalable and maintainable data solutions while ensuring high standards of quality, reliability, and performance.
 * Implement and maintain CI/CD pipelines using Azure and YAML.
 * Work with Infrastructure as Code (IaC) using ARM/Bicep.
 * Continuously improve existing solutions, reduce technical debt, and make pragmatic technical decisions.
 * Collaborate effectively within an Agile engineering environment.


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