Senior Data Engineer - Microsoft Azure

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AI Summary

Join our growing data team in Munich as a Senior Data Engineer with extensive experience in Microsoft Azure. Design, develop, and optimize cloud-based data solutions. Collaborate with stakeholders to define data requirements and implement robust solutions.

Key Highlights
Lead design, development, and optimization of cloud-based data solutions
Collaborate with stakeholders to define data requirements
Mentor junior data engineers and participate in code reviews
Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT processes on Azure
Develop and manage Azure Data services including Azure Data Factory, Azure Synapse, Databricks, Azure Data Lake, and Azure SQL
Optimize data storage and processing architecture for performance and cost-efficiency
Technical Skills Required
Microsoft Azure SQL Python Spark Azure Data Factory Azure Synapse Databricks Azure Data Lake Azure SQL CI/CD Infrastructure as Code (Terraform, Bicep) DevOps
Benefits & Perks
Competitive salary and bonus structure
Relocation support and visa sponsorship
Hybrid working model with a modern office in central Munich
Learning budget, certifications, and professional growth opportunities
Nice to Have
Microsoft Certified: Azure Data Engineer Associate
Experience with data privacy and compliance standards (GDPR, ISO 27001)
Familiarity with tools like dbt, Power BI, or Kafka

Job Description


About the Company



We are seeking a Senior Data Engineer with extensive experience in Microsoft Azure to join our growing data team in Munich. In this role, you will lead the design, development, and optimization of cloud-based data solutions that support critical business decisions across the organization. You’ll work alongside data scientists, analysts, and software engineers to ensure our data infrastructure is scalable, secure, and future-proof.



About the Role



We are seeking a Senior Data Engineer with extensive experience in Microsoft Azure to join our growing data team in Munich. In this role, you will lead the design, development, and optimization of cloud-based data solutions that support critical business decisions across the organization. You’ll work alongside data scientists, analysts, and software engineers to ensure our data infrastructure is scalable, secure, and future-proof.



Responsibilities



  • Design, build, and maintain scalable data pipelines and ETL/ELT processes on Azure.
  • Develop and manage Azure Data services including Azure Data Factory, Azure Synapse, Databricks, Azure Data Lake, and Azure SQL.
  • Optimize data storage and processing architecture for performance and cost-efficiency.
  • Collaborate with stakeholders to define data requirements and implement robust solutions.
  • Ensure data quality, data governance, and compliance with industry best practices.
  • Monitor and troubleshoot data pipelines and infrastructure using tools like Azure Monitor, Log Analytics, and Application Insights.
  • Mentor junior data engineers and participate in code reviews and architecture discussions.


Qualifications



  • Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data engineering or a similar role.
  • Proven expertise in Microsoft Azure cloud platform, especially in data-related services.
  • Proficiency with SQL, Python, and Spark.
  • Strong understanding of data modeling, data warehousing, and real-time data processing.
  • Experience with CI/CD, Infrastructure as Code (e.g., Terraform, Bicep), and DevOps practices in Azure.
  • Fluent in English; German is a plus.


Required Skills



  • Proven expertise in Microsoft Azure cloud platform, especially in data-related services.
  • Proficiency with SQL, Python, and Spark.
  • Strong understanding of data modeling, data warehousing, and real-time data processing.
  • Experience with CI/CD, Infrastructure as Code (e.g., Terraform, Bicep), and DevOps practices in Azure.
  • Fluent in English; German is a plus.


Preferred Skills



  • Microsoft Certified: Azure Data Engineer Associate or similar certification.
  • Experience with data privacy and compliance standards (GDPR, ISO 27001).
  • Familiarity with tools like dbt, Power BI, or Kafka.
  • Agile development experience (Scrum, Kanban).


Pay range and compensation package



  • Competitive salary and bonus structure.
  • Relocation support and visa sponsorship (if applicable).
  • Hybrid working model with a modern office in central Munich.
  • Learning budget, certifications, and professional growth opportunities.
  • Diverse, inclusive, and collaborative team environment.


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