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. a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } About The Role We are seeking an Analytics Engineer to join our Actuarial & Insurance team and play a key role in modernizing and enhancing our data architecture.

This position serves as a bridge between Data Engineering, Analytics, and Data Science, ensuring that high-quality, reliable data is available to support reporting, advanced analytics, and business decision-making. This is a highly technical, hands-on role focused on building and maintaining data pipelines, transforming and validating data, and improving data accessibility across the organization.

Key Responsibilities Build, maintain, and optimize data pipelines and data workflows

Clean, transform, and validate large datasets from multiple sources

Support the modernization of data architecture and platform capabilities

Manage and maintain data assets within cloud-based environments

Ensure data quality, integrity, and accessibility for analytics and reporting

Collaborate with Data Engineers, Analysts, Data Scientists, and business stakeholders

Identify data gaps and implement solutions that improve reliability and efficiency Required Qualifications 3+ years of experience in Analytics Engineering,



Data Engineering, or related roles

Strong Python programming skills

Advanced SQL expertise

Experience building and maintaining data pipelines

Hands-on experience with data transformation, cleansing, and validation

Experience with Data Warehousing concepts and technologies

AWS experience, particularly with S3

Experience working with large-scale datasets

Strong problem-solving skills and ability to identify data quality issues Preferred Qualifications Snowflake

Apache Airflow

Databricks

Exposure to Machine Learning environments

Experience supporting data architecture modernization or migration initiatives

Previous Analytics Engineering experience Ideal Candidate You are a curious and collaborative data professional who enjoys solving complex data challenges and building scalable solutions. You excel at working across teams, connecting information from different business areas, and continuously identifying opportunities to improve data quality, accessibility, and operational efficiency.

Why Join

Us? Work on high-impact initiatives supporting actuarial and insurance analytics

Help shape and modernize a growing data ecosystem

Collaborate with Data Engineering, Analytics, and Data Science teams

Gain exposure to cloud technologies, modern data platforms,



and advanced analytics projects Requirements Python SQL Great Level of English Pipeline Managment Benefits Competitive compensation and benefits package: Competitive salary and performance-based bonuses

Comprehensive benefits package

Career development and training opportunities

Adaptable work arrangements (remote and/or office-based)

Dynamic and inclusive work culture within a globally renowned group

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development Note: Benefits differ based on employee level. By applying for this position, candidates acknowledge and agree that: Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies

Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated

Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise Failure to comply with these conditions may impact the hiring decision or employment continuation.

📌 FBS -Analytics Engineer (México)
🏢 Capgemini
📍 México