FBS Marketing Automation & Integration Engineer at Capgemini Portugal

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Marketing Automation, Data Integration, Customer Journey Orchestration, Snowflake, Segment CDP, Braze, Scripting Languages, Reverse ETL, Data Orchestration, Customer Data Schema Design, Consent Management, Data Modeling, ETL Pipeline, API Integrations, Customer Journey Mapping

Industry

IT Services and IT Consulting

Description

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. 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 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 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 About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

Responsibilities

The role focuses on implementing and optimizing MarTech data flows involving various platforms. Key tasks include designing data pipelines, managing customer event tracking, and orchestrating personalized marketing campaigns.