CDP / SAP Emarsys Data Engineer

Valleysoft

1d

About The Position

Valleysoft is an IT services and technology solutions provider supporting organizations with enterprise software, digital transformation, process improvement, and infrastructure services. Working across the Information Technology and Services sector, the company helps clients solve complex operational and data challenges through practical, scalable technology solutions. In this role, you will help shape customer data capabilities that support connected marketing and business outcomes. As a CDP / SAP Emarsys Data Engineer, you will work across customer data platforms, integration points, and downstream systems to enable reliable data flows, improve data usability, and support teams that depend on accurate, well-structured customer information.

Requirements

• 4+ years of experience in data engineering, customer data, or data integration.
• Hands-on experience with Customer Data Platforms (CDP) and/or SAP Emarsys.
• Strong SQL skills, with experience in ETL and data transformation processes.
• Experience working with APIs, data integration, data modeling, and customer data structures.
• Solid understanding of data quality and data governance.
• Professional proficiency in English.

Nice To Haves

• Experience with customer segmentation and marketing automation.
• Experience working in enterprise-scale customer data environments.
• Hands-on experience with both SAP Emarsys and SAP Customer Data Platform.
• Experience integrating SAP and non-SAP customer data sources.

Responsibilities

• Design, develop, and maintain customer data ingestion and transformation processes.
• Develop and support integrations between source systems, CDP, SAP Emarsys, and downstream platforms.
• Build and maintain data pipelines and ETL processes.
• Work with customer data models and data structures.
• Ensure data quality, consistency, governance, and performance.
• Support customer segmentation and marketing data requirements.
• Support campaign and customer analytics requirements.
• Troubleshoot data integration and data quality issues.
• Analyze data-related incidents and implement appropriate resolutions.
• Collaborate with functional, marketing, integration, and technical teams.
• Support testing, deployment, and production activities.

Benefits

• Private Health Insurance
• Training & Development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed