Associate Analytics Engineer

Capgemini

FBS Associate Analytics Engineer focusing on transforming raw data into structured datasets for analysis. Collaborate with teams to build high-performing data ecosystems in Farmers operations.

Posted 7/23/2026full-timeRemote • 🇧🇷 BrazilJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics principles, with a focus on transforming raw data into structured datasets for insightful analysis. Proficient in end-to-end data workflows, including ingestion, transformation, and validation, to support data-driven decision-making.

Highest-signal resume keywords

Data EngineeringSQLPythonData TransformationAWS/Azure/GCP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData ModelingData ValidationData AnalysisData Workflow

Soft Skills

Analytical MindsetProactive Problem Solving

Tools & Technologies

DbtAirflow

Industry Keywords

Data EcosystemBusiness ProcessesData-Driven Decision-Making

Tech Stack

Tools & technologies

AirflowAWSAzureGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent.
By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.
We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.
Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.
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

Requirements

What you’ll need

This position plays a role in the data ecosystem by assisting in transforming raw data into structured, high-quality datasets that are ready for analysis.
The role primarily focuses on low to moderately complex business problems while receiving coaching and guidance from data leadership.
The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and working business acumen to ensure data is not only collected and stored efficiently but also accessible and insightful for end users.
With some coaching and guidance from more experienced engineers, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization.
The position requires understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.
**Tools:**
SQL - Entry Level (1-3 Years)
Python - Entry Level (1-3 Years)
dbt - Entry Level (1-3 Years)
Airflow - Entry Level (1-3 Years)
AWS/Azure/GCP - Entry Level (1-3 Years)

Benefits

Comp & perks

A competitive salary and performance-based bonuses.
Comprehensive benefits package.
Flexible work arrangements (remote and/or office-based).
You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
Private Health Insurance.
Paid Time Off.
Training & Development opportunities in partnership with renowned companies.