FBS Associate Analytics Engineer
- Role
- Data Engineering
- Experience
- Junior
- Employment
- Full-time
Open to BR only. Set where you work from to check your eligibility.
No BS summary
Entry-level/associate analytics engineer in Brazil with 1–3 years in SQL, Python, dbt, Airflow, and one cloud platform. Needs data engineering, analytics, and business-process understanding to build and validate datasets for analysis.
Core skills
Required skills
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.
What you'll do
- Assist in transforming raw data into structured, high-quality datasets that are ready for analysis.
- Focus on low to moderately complex business problems while receiving coaching and guidance from data leadership.
- Ensure data is collected and stored efficiently, accessible, and insightful for end users.
- Handle end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization.
- Solve complex data challenges with a proactive approach.
What they require
- Entry Level (1-3 Years) with SQL.
- Entry Level (1-3 Years) with Python.
- Entry Level (1-3 Years) with dbt.
- Entry Level (1-3 Years) with Airflow.
- Entry Level (1-3 Years) with AWS/Azure/GCP.
- Understanding of data engineering, business processes, and analytics principles.
- Technical skills of a data engineer, analytical mindset of a data analyst, and working business acumen.
- Ability to work with some coaching and guidance from more experienced engineers.
Benefits
- Competitive compensation and benefits package.
- A competitive salary and performance-based bonuses.
- Comprehensive benefits package.
- Flexible work arrangements (remote and/or office-based).
- Dynamic and inclusive work culture within a globally renowned group.
- Private Health Insurance.
- Paid Time Off.
- Training & Development opportunities in partnership with renowned companies.
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.