Talantix.io
ai futures•12.04.26
AI SCORE 8.5

Senior Data Engineer - Microsoft Azure (Remote)

$120K–$150K/year
RemoteCloud ComputingVisaRelocation
Microsoft Azure•SQL•Python•Spark•ETL•Data Warehousing•CI/CD•Terraform•Bicep•Kafka

About the Role

We are seeking a Senior Data Engineer - Microsoft Azure to join our growing data team in Munich. This Senior Data Engineer remote position offers the opportunity to lead the design, development, and optimization of cloud-based data solutions that support critical business decisions across the organization. You will collaborate with data scientists, analysts, and software engineers to ensure our data infrastructure is scalable, secure, and future-proof.

What You'll Do

  • 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.

Requirements

  • 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.

Nice to Have

  • 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).

What We Offer

  • 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.
Language Requirements
EnglishC1
German(optional)B1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role offers a unique opportunity to work remotely while leading innovative data solutions in a collaborative environment. Competitive salary and relocation support enhance the appeal.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in designing and implementing data pipelines using Microsoft Azure Data Factory, along with experience in optimizing ETL processes with tools like Apache Spark and SQL.

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Self-motivated and disciplined, capable of thriving in a fully remote work environment while managing time effectively to meet project deadlines and collaborate asynchronously with cross-functional teams.

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Strong background in infrastructure as code (IaC) practices, particularly using Terraform and Bicep for provisioning Azure resources, alongside a deep understanding of CI/CD methodologies for data engineering workflows.

Learning Resources

→Azure Data Engineering Learning Pathguide
→Building Data Pipelines with Azure Data Factorycourse
→Introduction to Apache Spark on Azurearticle

Career Path

Senior Data Engineer - Microsoft Azure(Now)→Lead Data Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$72B
Annual Growth
25.4%
AI Adoption in Data Engineering
45%
Investment in Azure Services
+30%
Labour Demand for Data Engineers
+28%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
Microsoft AzureSQLPython
Growing in Demand
Azure Synapse AnalyticsMachine LearningDataOps
Declining
On-premises Data WarehousingHadoop MapReduce

Domain Trends

Increased Cloud Migration
Over 70% of enterprises are expected to migrate at least 80% of their workloads to the cloud by 2025, driving demand for Azure expertise.
Rise of Real-time Data Processing
The demand for real-time data processing solutions, especially with tools like Kafka, is projected to grow by 40% annually as businesses seek to make data-driven decisions faster.
Focus on Data Security and Compliance
With 50% of organizations citing data security as a top concern, Azure's compliance features are becoming critical, leading to increased job opportunities for data engineers skilled in security protocols.

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