Azure Data Engineer

Mercedes-Benz Financial Services is seeking a Data & Analytics Data Engineer to design, develop, and deploy scalable data pipelines and infrastructure in a Microsoft Azure-based data ecosystem. The role involves leading data product development, pipeline architecture, and automation, as well as contributing to data modernization and technical leadership. The ideal candidate has 5+ years of experience in designing and building data pipelines in Microsoft Azure and proficiency in object-oriented programming languages such as Python, R, Scala, and Java.

Requirements

• 5+ Years experience designing and building data pipelines in Microsoft Azure (Data Factory, Databricks (Lakehouse, Delta Lake, Unity catalog), ADLS, Integration Runtime, Express route & MS SQL Server) supporting Datawarehouses
• Proficient in creating data pipelines and in hybrid data movement from on-prem systems to MS Azure
• Experience with object-oriented programing languages such as Python, R, Scala, and Java
• Experience using wide variety of file formats and compression techniques
• Experience with CI/CD processes
• Bachelor’s Degree is required, Master’s Degree is preferred
• Recommended majors include: IT

Benefits

• Competitive salary
• Performance-based bonuses
• 401(K) with match
• Generous vacation and personal time
• Mercedes-Benz car program
• Flexible work arrangements