FBS - Associate Analytics Engineer

Capgemini; Mexico; Hybrid; PHP 4,869,000 - 7,304,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Flexible work arrangements

Job summary

Our Client in the insurance sector is seeking an Analytics Engineer to bridge Data Engineering, Analytics, and Data Science, ensuring high-quality data for reporting and advanced analytics.

The role focuses on building data pipelines, transforming data, and improving accessibility across the organization in cloud environments.

Qualifications

• 3+ years of Analytics Engineering or Data Engineering experience.
• Strong Python programming skills.
• Advanced SQL expertise.
• Experience building and maintaining data pipelines.
• Data transformation, cleansing and validation experience.
• Familiar with Data Warehousing concepts and technologies.
• AWS experience, particularly with S3.

Responsibilities

• Build, maintain, and optimize data pipelines and data workflows.
• Clean, transform, and validate large datasets from multiple sources.
• Support modernization of data architecture and platform capabilities.
• Manage and maintain data assets within cloud environments.
• Ensure data quality, integrity, and accessibility for analytics.
• Collaborate with Data Engineers, Analysts, Data Scientists, and stakeholders.
• Identify data gaps and implement solutions to improve reliability.

Skills

Python

SQL

Pipeline Management

English proficiency

Tools

Snowflake

Apache Airflow

Databricks

Job description

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.

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 initiativesPrevious 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 modernise 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 Management

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 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.