Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
Marketing Automation Engineer – Integration
October 31
Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
📋 Description
• Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms • Implement real-time and batch data ingestion strategies • Manage customer event tracking and identity resolution within Segment • Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers • Ensure data integrity and feedback loops from Braze back into Snowflake via Segment • Automate data transformations and enrichment using scripting languages • Monitor system performance and troubleshoot integration issues across platforms
🎯 Requirements
• 4 to 6 years of experience in IT environments with a strong focus on MarTech architecture. • Familiarity with insurance industry data and customer lifecycle models is a plus. • Bachelor’s degree in Computer Science/IT, Data Science, Software Engineering. • Fluency in English • Software / Tools • Segment CDP • Braze • Snowflake • Scripting Languages (Python / JS) • Other Critical Skills • Reverse ETL • Data Orchestration Platforms • Customer Data Schema Design • Consent & Preference Management • Data modeling and ETL/ELT Pipeline • API Integrations / Webhooks • Customer journey mapping and automation logic
🏖️ Benefits
• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally reknowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development
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