TL;DR

Senior Data Engineer (Azure/Databricks): Taking ownership of operational data platform tasks and improving stability across an Azure environment with an accent on optimizing ETL pipelines for performance, reliability, and cost. Focus on debugging production issues, reducing pipeline failures, and contributing to CI/CD and monitoring best practices.

Location: Hybrid: 2 days onsite in Amstelveen, North Holland. Must be based in the Netherlands.

Salary: Negotiable EUR / Year

Company

%hirify_global% is seeking a Senior Data Engineer to own and support production workloads on an Azure environment.

What you will do

Own and support production workloads, reducing dependency on existing engineers.
Debug and resolve production issues quickly.
Improve stability across Azure, Databricks, and Airflow environments.
Optimize ETL pipelines for performance, reliability, and cost.
Contribute to CI/CD, monitoring, and incident/change management best practices.

Requirements

5+ years of experience with Azure.
Strong skills in Python / PySpark.
Extensive experience with Databricks, Airflow, and Azure DevOps.
Experience with CI/CD and testing.
Agile/Scrum experience and strong communication skills.
Fluent in English.
Must be based in the Netherlands.
Freelancers are not allowed.
Availability for a 36-hour work week, with 2 days onsite.