SAP Cloud Data Engineer - SAP Ops 

Germany, Berlin 

230245323

What we offer

, you will be responsible for architecting, implementing, and maintaining scalable and high-performance data solutions in the Microsoft Azure ecosystem. You’ll use your advanced knowledge of Azure services, data engineering best practices, and modern development approaches to enable data-driven decision-making across the organization.

1. Architect Azure Data Solutions

• Design end-to-end cloud-native data architectures, including ingestion, storage, processing, and consumption layers.
• Recommend Azure services aligned to scalability, performance, and security requirements.

2. Develop and Automate Data Pipelines

• Build scalable data pipelines using Azure Data Factory , Azure Databricks , or other ETL tools.
• Integrate data from structured, semi-structured, and unstructured sources using best-in-class transformation logic.

3. Model and Optimize Data

• Design efficient data models and schemas to support analytics, reporting, and AI/ML use cases.
• Optimize performance of databases and queries using partitioning, indexing, caching, and other techniques.

4. Monitor and Maintain Systems

• Implement monitoring, logging, and alerting for pipelines and storage systems using Azure Monitor, Log Analytics, and custom scripts.
• Proactively identify, diagnose, and resolve production issues to ensure reliability and uptime.

5. Continuous Learning and Innovation

• Stay current with emerging technologies in Azure data services.
• Evaluate new tools and approaches to improve system efficiency, scalability, and cost-effectiveness.

Technical Skills

• Strong expertise in Azure data ecosystem, including:
  • Storage: Azure Data Lake Storage, Azure SQL Database, Cosmos DB
  • Processing: Azure Synapse Analytics, Azure Databricks, HDInsight
  • Integration: Azure Data Factory, Logic Apps
• Proficiency in SQL , Python , and/or Scala for data wrangling, analysis, and transformation.
• Solid knowledge of data modeling , schema design, and normalization techniques.
• Hands-on experience with DevOps practices including CI/CD , IaC with Azure DevOps , ARM templates , or Terraform .

EDUCATION

• Bachelor’s or Master’s degree in Computer Science , Information Technology , Engineering , or a related discipline.

Certifications(Preferred but not required)

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert

EXPERIENCE

• 3+ years of experience in data engineering with a focus on cloud platforms (preferably Azure).
• Demonstrated experience building and supporting production-grade data pipelines and analytics platforms.
• Familiarity with Agile methodologies and cross-functional team collaboration

Our inclusion promise

Successful candidates might be required to undergo a background verification with an external vendor.