Salesforce Data Cloud Developer (m/f/d)

Develop, operate, and enhance the Salesforce Data Cloud environment, ensuring stability and data qualityIntegrate data from multiple sources (CRM, APIs, external systems, data warehouses) and build efficient data pipelinesDesign and maintain data models, including data lake structures and unified customer data modelsImplement identity resolution and manage unified customer profilesPerform data transformations, cleansing, deduplication, and enrichmentDevelop APIs and integrations (e.g., REST, MuleSoft), ensure near real-time data exchange, and monitor performance and compliance (e.g., GDPR) Strong hands-on experience with Salesforce Data Cloud (CDP) and data integrationStrong hands-on experience with Salesforce Data Cloud (CDP)Solid expertise in data modeling and architecture (e.g., data lakes, unified data models)Proven experience in integrating data from multiple source systems (e.g., CRM, APIs, external platforms, data warehouses)Experience with identity resolution, customer data unification, and data quality managementProven skills in API integration (REST, ideally MuleSoft) and data pipelinesExperience working in agile environments, strong problem-solving skills, and fluency in English (German is a plus) Dynamic and innovative market environment Discover the modern way of recruiting in the sales and marketing field. With us you receive the perfect support for ensuring your professional success – together with consultants specialised in your industry. Our experience and know-how allow us to assist you individually in planning your next career steps, from choosing the right position to your first day on the job and beyond. Register with us and reap the benefits of interesting job offers that match your skills and experience – all completely free of charge.

Responsibilities

Develop, operate, and enhance the Salesforce Data Cloud environment, ensuring stability and data qualityIntegrate data from multiple sources (CRM, APIs, external systems, data warehouses) and build efficient data pipelinesDesign and maintain data models, including data lake structures and unified customer data modelsImplement identity resolution and manage unified customer profilesPerform data transformations, cleansing, deduplication, and enrichmentDevelop APIs and integrations (e.g., REST, MuleSoft), ensure near real-time data exchange, and monitor performance and compliance (e.g., GDPR)

Benefits

Dynamic and innovative market environment