Senior Azure Databricks Data Engineer

Stafide; Amsterdam; On-site; EUR 90,000 - 150,000; Full time

Job summary

Stafide in Amsterdam is seeking an experienced Azure Databricks Engineer to design, build, and optimize data processing solutions using Databricks, Python, and PySpark. You will create scalable batch and streaming data workflows and craft data models within Databricks.

The role requires strong Azure cloud experience, CI/CD with YAML, and IaC with ARM/Bicep, all within an Agile team focused on delivering reliable, high-performant data platforms.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain robust data processing solutions using Azure Databricks, Python, and PySpark.
• Build and manage 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.

Skills

Azure Databricks

Python

PySpark

SQL

Databricks data processing

Azure Cloud

CI/CD YAML

ARM/Bicep

Agile

Tools

CI/CD tooling

Infrastructure as Code

Job description

Stafide in Amsterdam is seeking an experienced Azure Databricks Engineer to design, build, and optimize data processing solutions using Databricks, Python, and PySpark. You will create scalable batch and streaming data workflows and craft data models within Databricks.

The role requires strong Azure cloud experience, CI/CD with YAML, and IaC with ARM/Bicep, all within an Agile team focused on delivering reliable, high-performant data platforms.