Azure Data Engineer with MS Fabric

Your ITeams Sp. z o.o.; Deutschland; Vor Ort; EUR 30.000 - 42.000; Teilzeit

Benefits dieser Stelle

Luxmed Gold Extended medical care

Multisport Plus

Zusammenfassung

Your ITeams Sp. z o.o. seeks an experienced Azure Data Engineer for a 0.5 FTE remote role in Germany.

You will design and deliver advanced data engineering solutions within the Azure ecosystem, leveraging Microsoft Fabric to enable reliable, scalable data integration and analytics. Responsibilities include building data pipelines, implementing Fabric-based solutions, and ensuring data quality, security, and compliance across the data lifecycle.

Qualifikationen

• Proven experience as a Data Engineer with a strong focus on Microsoft Azure services.
• Hands-on experience with Microsoft Fabric and related data integration technologies.
• Advanced programming skills in Python and SQL.
• Proficiency with PySpark and experience with Azure DWH, Azure Data Factory, Azure Data Lake, and Azure SQL Database.
• Experience implementing CI/CD pipelines, preferably using Azure DevOps.
• Strong communication skills in English, both written and verbal.

Aufgaben

• Design, develop, and maintain scalable data pipelines and architectures using Microsoft Azure services.
• Implement and optimize solutions with Microsoft Fabric to support data integration, transformation, and analytics.
• Build robust, secure, and scalable data solutions leveraging Data Lake, Databricks, ETL/ELT processes, and other data processing workflows.
• Collaborate with cross-functional teams to gather data requirements and deliver efficient, production-ready solutions.
• Ensure data quality, security, and compliance are maintained across the data lifecycle.
• Provide technical guidance and promote best practices in Azure data engineering.
• Contribute to continuous improvement by evaluating new tools and technologies and suggesting pragmatic adoption paths.

Kenntnisse

Python programming

SQL

English communication

Remote work capability

Agile mindset

Tools

Microsoft Azure

Microsoft Fabric

PySpark

Azure Data Factory

Azure Data Lake

Azure SQL Database

Azure DevOps

Jobbeschreibung

We are looking for an experienced Azure Data Engineer with strong Microsoft Fabric expertise to join our team on a 0.5 FTE basis. This remote role focuses on designing and delivering advanced data engineering solutions within the Azure ecosystem, using Microsoft Fabric and related technologies to enable reliable, scalable data integration and analytics.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures using Microsoft Azure services.
• Implement and optimize solutions with Microsoft Fabric to support data integration, transformation, and analytics.
• Build robust, secure, and scalable data solutions leveraging Data Lake, Databricks, ETL/ELT processes, and other data processing workflows.
• Collaborate with cross-functional teams to gather data requirements and deliver efficient, production-ready solutions.
• Ensure data quality, security, and compliance are maintained across the data lifecycle.
• Provide technical guidance and promote best practices in Azure data engineering.
• Contribute to continuous improvement by evaluating new tools and technologies and suggesting pragmatic adoption paths.

Qualifications

• Proven experience as a Data Engineer with a strong focus on Microsoft Azure services.
• Hands-on experience with Microsoft Fabric and related data integration technologies.
• Advanced programming skills in Python and SQL.
• Proficiency with PySpark and experience with Azure DWH, Azure Data Factory, Azure Data Lake, and Azure SQL Database.
• Experience implementing CI/CD pipelines, preferably using Azure DevOps.
• Strong communication skills in English, both written and verbal.
• Opportunity to work remotely with flexible arrangements.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Luxmed Gold Extended medical care and Multisport Plus benefit.