Senior Data Engineer Azure

As a Senior Data Engineer – Azure, you will:

• Design, develop, and maintain scalable and reliable data pipelines and enterprise data products.
  
• Build and support data engineering solutions across cloud and on-premises environments.
  
• Develop solutions using Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, SQL Server, and SSIS.
  
• Design and implement robust ETL/ELT processes for enterprise data solutions.
  
• Develop and maintain CI/CD pipelines using Azure DevOps and GitHub.
  
• Apply Git-based development practices including branching, pull requests, code reviews, and release management.
  
• Optimize data pipelines, ETL/ELT processes, and data models for performance, stability, scalability, and data quality.
  
• Troubleshoot and resolve production data engineering and pipeline issues.
  
• Collaborate with business and technical stakeholders to understand requirements and deliver effective data solutions.
  
• Maintain clear and accurate technical documentation for data solutions and processes.
  
• Contribute to the delivery and continuous improvement of production-ready data solutions within an Agile environment.
  

What You Bring to the Table:

• 6+ years of overall professional experience in Data Engineering, Data Warehousing, or a related field.
  
• Strong hands-on experience with Azure Data Factory (ADF).
  
• Strong experience with Azure Synapse Analytics.
  
• Strong experience with Azure Data Lake Storage (ADLS).
  
• Strong hands-on experience with Azure Databricks.
  
• Strong experience with SQL Server, T-SQL, and SQL Server Integration Services (SSIS).
  
• Hands-on experience with CI/CD, Azure DevOps, and GitHub.
  
• Strong proficiency in SQL and Python.
  
• Good knowledge of data warehousing, dimensional modelling, and ETL/ELT concepts.
  
• Experience delivering production-ready data solutions in an Agile environment.
  
• Strong knowledge of Git-based development practices, including branching, pull requests, code reviews, and release management.
  
• Strong analytical and troubleshooting skills.
  
• Strong communication and stakeholder-management skills.
  

You should possess the ability to:

• Design and develop scalable, reliable, and maintainable data pipelines.
  
• Build enterprise data solutions using the Azure data engineering ecosystem.
  
• Develop and optimize ETL/ELT workflows using Azure Data Factory, Databricks, and SSIS.
  
• Work effectively with Azure Synapse, ADLS, SQL Server, and T-SQL.
  
• Develop efficient and high-quality SQL and Python solutions.
  
• Design and work with data warehouses and dimensional data models.
  
• Optimize data pipelines and data models for performance, stability, scalability, and data quality.
  
• Build and manage CI/CD pipelines using Azure DevOps and GitHub.
  
• Follow Git-based development practices and participate effectively in code reviews and release management.
  
• Troubleshoot complex production issues and identify appropriate root causes and solutions.
  
• Work effectively across cloud and on-premises data environments.
  
• Collaborate with business and technical stakeholders and translate requirements into technical solutions.
  
• Document technical solutions, processes, and implementation details clearly.
  
• Work effectively within Agile teams and take ownership of assigned deliverables.
  

What we bring to the table:

• The opportunity to work on scalable and enterprise-grade Azure data engineering solutions.
  
• Exposure to a broad Azure data technology stack including ADF, Synapse, ADLS, and Databricks.
  
• Opportunities to work extensively with SQL Server, T-SQL, SSIS, SQL, and Python.
  
• Hands-on experience with modern CI/CD, Azure DevOps, GitHub, and Git-based development practices.
  
• Opportunities to work across both cloud and on-premises data environments.
  
• Exposure to enterprise data warehousing, dimensional modelling, ETL/ELT, and data product development.
  
• A collaborative Agile environment involving business and technical stakeholders.
  
• Opportunities to contribute to performance optimization, data quality, production support, and continuous improvement.
  

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Giftson Paul Davidson

Phone: +31 20 369 0609 ; Extn : 151

E-mail:

LinkedIn: