We are seeking a highly motivated Marketing Automation & Integration Engineer to join our team. Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
What to expect on your journey with us:
A solid and innovative company with a strong market presence
A dynamic, diverse, and multicultural work environment
Leaders with deep market knowledge and strategic vision
Continuous learning and development
Team Function:
The team is responsible for architecting and maintaining scalable MarTech solutions, with a focus on:
- Data integration
- Customer journey orchestration
- Marketing automation
This team operates within the Data, Tech, and Operations tower of the Direct BU.
Role Description:
This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms.
Key responsibilities include:
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
This position comes with competitive compensation and benefits package:
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