Senior Azure Data Engineer - Scalable Pipelines & DevOps

Stafide; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Opportunities to work on large-scale projects

Collaborative environment

Learning-driven culture

Job summary

A leading technology company in Amsterdam is seeking a Senior Azure Data Engineer to design and implement scalable ETL/ELT data pipelines. You will utilize your extensive experience in Azure Data Factory, Databricks, and Python to optimize data workflows and ensure data quality. The ideal candidate has at least 6-8 years' experience in Data Engineering and is adept at translating business requirements into robust data engineering solutions. The role offers exposure to large-scale transformations within the Azure ecosystem.

Qualifications

• 6–8 years of experience in Data Engineering or related roles.
• Strong expertise in Azure Data Factory, Azure Databricks, and PySpark.
• Proficiency in Python programming for data processing.
• Advanced knowledge of SQL performance tuning.
• Experience with Azure DevOps in data engineering.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Build and optimize data transformation workflows.
• Implement data quality frameworks and CI/CD pipelines.
• Ensure adherence to security and compliance standards.

Skills

Azure Data Factory

Azure Databricks

Python

SQL performance tuning

Data governance

DevOps practices

Tools

Bicep

Job description

A leading technology company in Amsterdam is seeking a Senior Azure Data Engineer to design and implement scalable ETL/ELT data pipelines. You will utilize your extensive experience in Azure Data Factory, Databricks, and Python to optimize data workflows and ensure data quality. The ideal candidate has at least 6-8 years' experience in Data Engineering and is adept at translating business requirements into robust data engineering solutions. The role offers exposure to large-scale transformations within the Azure ecosystem.