FBS Analytics Engineer
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Full-time
Open to MX, BR only. Set where you work from to check your eligibility.
No BS summary
Analytics Engineer with 5+ years in analytics engineering or related work, strong SQL/Python, PowerBI, DBT/ELT, and pipeline automation experience. Must have strong English communication skills and be based in Mexico or Brazil.
Core skills
Required skills
Optional skills
Required languages
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 Work with stakeholders to gather requirements and construct gold/semantic level data models from mart and staging layers. Building data pipelines, provide SME to team members on semantic layer, construct DBT models from scratch for automation Responsibilities Pipeline Design and Development; Architects and builds scalable data pipelines using modern ELT (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar. Automates data ingestion processes from various sources including databases, APIs, and third party services. Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake Optimizes storage solutions for performance, cost efficiency, and scalability. Data Modeling - Develops and maintains logical and physical data models to support business analytics. Creates and manages dimensional models, star/snowflake schemas, and other data structures. Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages. Implements data transformation workflows to handle data cleansing, normalization, and enrichment. Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs. Acts as a liaison between technical teams and business units to translate business requirements into technical specifications. Requirements 5+ years of experience working in Analytics Engineer or relevant Experience working with SQL and Python Advanced knowledge of PowerBI (Power Query and DAX) 4+ years of experience with pipeline automation tools (Fivetran would be a plus) Strong knowledge of DBT or other ELT frameworks/tools (Apache AirFlow). Strong English communication skills Nice to Have Experience working with Microsoft Fabric Experience in Insurance or Financial Services Benefits This position comes with competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Dynamic and inclusive work culture within a globally renowned group Private Health and Dental Insurance Pension Plan Meals tickets Life Insurance
What you'll do
- Work with stakeholders to gather requirements and construct gold/semantic level data models from mart and staging layers.
- Building data pipelines, provide SME to team members on semantic layer, construct DBT models from scratch for automation.
- Pipeline Design and Development.
- Architects and builds scalable data pipelines using modern ELT tools and frameworks such as DBT, or similar.
- Automates data ingestion processes from various sources including databases, APIs, and third party services.
- Designs and implements data warehousing solutions using platforms like Snowflake.
- Optimizes storage solutions for performance, cost efficiency, and scalability.
- Develops and maintains logical and physical data models to support business analytics.
- Creates and manages dimensional models, star/snowflake schemas, and other data structures.
- Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.
- Implements data transformation workflows to handle data cleansing, normalization, and enrichment.
- Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs.
- Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.
What they require
- 5+ years of experience working in Analytics Engineer or relevant.
- Experience working with SQL and Python.
- Advanced knowledge of PowerBI (Power Query and DAX).
- 4+ years of experience with pipeline automation tools.
- Strong knowledge of DBT or other ELT frameworks/tools.
- Strong English communication skills.
- Preferred: Experience in Insurance or Financial Services.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package.
- Career development and training opportunities.
- Dynamic and inclusive work culture within a globally renowned group.
- Private Health and Dental Insurance.
- Pension Plan.
- Meals tickets.
- Life Insurance.
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. Since it doesn’t have a local legal entity, it has partnered with Capgemini as the Employer of Record for local payroll and benefits.