FBS Associate Analytics Engineer (Remote)

Capgemini; Brasil; Híbrido; BRL 90 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work arrangements (remote and

office-based)

Private Health Insurance

Paid Time Off

Training & Development opportunities

Resumo da oferta

Capgemini, acting as Employer of Record for Farmers’ FBS, seeks a data professional to transform raw data into structured, high-quality datasets ready for analysis.

Role blends data engineering and analytics, focusing on data ingestion, transformation, modeling, and validation to enable data-driven decisions across the organization.

Qualificações

• Experience transforming raw data into structured datasets.
• Understanding of data engineering, analytics principles, and business processes.
• Proactive approach to solving complex data challenges.
• Ability to work with coaching to handle low-to-moderate complexity problems.

Responsabilidades

• End-to-end data workflow including ingestion, transformation, modeling, and validation.
• Collaborate with data leadership to ensure data is accessible and insightful.
• Bridge data engineering and data analytics with business acumen for decision-making.

Descrição da oferta de emprego

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.

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

Requirements

• 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

This position comes with a competitive compensation and benefits package.

• 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