Senior Azure Data Engineer: Scalable ETL & Data Pipelines

Stafide; Amsterdam; On-site; EUR 65,000 - 85,000; Full time

Benefits offered by this job

Opportunities for professional growth

Exposure to advanced technologies

Collaborative work environment

Job summary

A leading data engineering firm in Amsterdam is looking for a Senior Azure Data Engineer to design and maintain scalable data architectures. You will be responsible for building reliable ETL workflows, managing data pipelines, and ensuring operational excellence. The ideal candidate has 6-8 years of experience in data engineering with strong skills in Azure Data Factory, Python, and SQL. Join us for continuous learning and growth in a collaborative environment focused on advanced data solutions.

Qualifications

• 6–8 years of overall experience in data engineering and enterprise data platform environments.
• Strong practical experience in building and managing data integration workflows using Azure Data Factory.
• Advanced proficiency in Python for data processing and automation.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build and optimize ETL workflows for data ingestion and transformation.
• Monitor data pipelines and resolve incidents within SLAs.

Skills

Azure Data Factory

Python

PySpark

SQL

Apache Airflow

Data Governance

Data Quality

Job description

A leading data engineering firm in Amsterdam is looking for a Senior Azure Data Engineer to design and maintain scalable data architectures. You will be responsible for building reliable ETL workflows, managing data pipelines, and ensuring operational excellence. The ideal candidate has 6-8 years of experience in data engineering with strong skills in Azure Data Factory, Python, and SQL. Join us for continuous learning and growth in a collaborative environment focused on advanced data solutions.