Cloud Data Engineer

Overview

As a Data Engineer , 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Required Qualifications

• Technical Skills
  • 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

• 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.

About SAP

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. At SAP, we build breakthroughs, together.

Inclusion and Equal Opportunity

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone—regardless of background—feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying and need accommodation or assistance to navigate our website or complete your application, please contact Recruiting Operations Team: Americas: ; APJ: ; EMEA:

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