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# Azure Data Engineer

- **Company:** Manpower
- **Location:** Collegeville, PA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Open Data Protocol, SuccessFactors, Azure Data Lake, SQL Stored Procedures, SQL Databases, Data Streaming, Data Processing, Freeform SQL, Azure Data Factory, Pyspark, Data Analytics, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467343499&tx=FK3936FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Proven experience with Azure Data Factory, Azure Databricks, ADLS, and SQL.
 * Hands-on experience with SAP SuccessFactors APIs and integration patterns.
 * Strong understanding of modern data engineering practices, including ETL/ELT pipeline development.
 * Ability to develop complex SQL queries, stored procedures, and data models.
 * Excellent collaboration skills to work effectively with business and HR stakeholders to gather requirements and deliver solutions.

## Description

* Design, develop, and maintain scalable data pipelines within the Microsoft Azure cloud platform.
 * Build integrations between SAP SuccessFactors and Azure data platforms to facilitate seamless data flow.
 * Create ingestion processes utilizing SAP SuccessFactors APIs, OData APIs, and other integration mechanisms.
 * Utilize Azure Data Factory for orchestration, scheduling, and pipeline management to ensure efficient data processing.
 * Develop data transformation solutions using Azure Databricks and PySpark, and manage data within Azure Data Lake Storage (ADLS) and data warehouses.