- STAFIDE
- Warsaw, 14
- Full-Time
- <48 Hours
Senior Data Engineer Azure (ID: 4054).
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Senior Data Engineer Azure (ID: 4054): our view in 3 lines...
- The Role:This role is for a senior data engineer with Azure experience working on enterprise data solutions.
- The Person:The person will design and maintain data pipelines, build ETL and ELT processes, develop CI/CD pipelines, optimise data models, troubleshoot production issues, and document data solutions.
- Requirements:The role requires Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, SQL Server, SSIS, Azure DevOps, GitHub, SQL, Python, and T-SQL.
About the role
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
