Senior Data Engineer Azure (ID: 4054)

Stafide; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Stafide is seeking a Senior Data Engineer - Azure to design, develop, and maintain scalable data pipelines and enterprise data products across cloud and on-prem environments.

You will implement ETL/ELT with Azure Data Factory, Synapse, ADLS, and Databricks, build CI/CD pipelines, and work in Agile teams with stakeholders. Strong SQL and Python, 6+ years experience, and excellent communication are required.

Qualifications

• 6+ years of professional experience in Data Engineering, Data Warehousing, or related field.
• 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 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines and enterprise data products.
• Build and support data engineering solutions across cloud and on-premises environments.
• 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 and data quality.
• Troubleshoot and resolve production data engineering and pipeline issues.
• Collaborate with business and technical stakeholders to understand requirements and deliver data solutions.
• Maintain clear technical documentation for data solutions and processes.
• Contribute to Agile delivery and continuous improvement of production-ready data solutions.

Skills

SQL

Python

Git

CI/CD

Azure DevOps

Communication

Stakeholder management

Analytical thinking

Agile

Troubleshooting

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

Azure Databricks

SSIS

SQL Server

Job description

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.
• 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.