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Senior Azure Data Engineer

Visa Sponsorship
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Design and maintain scalable data pipelines using Azure Data Factory and Databricks. Develop robust ETL/ELT solutions and optimize large-scale data processing with PySpark and Python. Requires 8-10 years of experience in Azure data engineering and CI/CD implementation.

Key Highlights
12-month contract with possibility of extension
Hybrid work model: 2 days remote, 3 days office in Amsterdam
Visa sponsorship provided for candidate and dependants
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Data Factory
Build and optimize large-scale data processing solutions using Azure Databricks and PySpark
Develop robust ETL/ELT solutions using Python
Implement and maintain CI/CD pipelines using Azure DevOps
Work with cross-functional teams to understand data requirements and deliver effective data solutions
Monitor, troubleshoot, and optimize data pipelines for performance and reliability
Develop and optimize SQL queries for large datasets
Ensure data security, quality, compliance, and engineering best practices
Maintain technical documentation and contribute to continuous improvement of data engineering practices
Technical Skills Required
Azure Data Factory Azure Databricks PySpark
Benefits & Perks
20 days of holiday per year
Certification charges reimbursed
Visa sponsorship for candidate and dependants
Possibility of bonus

Job Description

Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 8-10 years.

Hybrid: 2 days Work from Home 3 days Work from Office

Your Profile & DNA:

We are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Factory, Azure Databricks, PySpark, Python, SQL, and Azure DevOps.

Roles & Responsibilities

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