BRP

Senior Data & Analytics Engineer

BRP Campinas, São Paulo, Brazil

Manufacturing · 10,001+ employees

Yesterday
Senior (5-10 yrs) Temporary Full-time Brazil
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

You will design, implement, and maintain scalable ELT data pipelines while collaborating with cross-functional teams to deliver high-quality data solutions. Additionally, you will optimize data models using medallion architecture and ensure data reliability to support advanced analytics and strategic decision-making.

What they look for

Snowflake Dbt Python Dagster Airflow SQL Azure Microsoft SQL Server Power BI Data modeling ELT pipelines CI/CD Agile DevOps Data quality Data profiling

Requirements

The role requires significant technical expertise in Snowflake, Python, and orchestration tools like Dagster or Airflow, along with strong proficiency in SQL. Candidates should have experience working with customer and sales data in an Agile environment and possess excellent communication skills in English and Portuguese.

Full description

Join BRP’s dynamic and inclusive Data & Analytics team in Brazil, and help shape a data-driven future for the Powersports Strategy, Channel Management and Customer Experience business line at one of the world’s most innovative companies. We’re building a talented team that will transform how we use data to drive smarter decisions for strategic planning, optimize our dealer and distribution networks and understand customers to personalize experiences .

As a Senior Data & Analytics Engineer, you will play a key role in building and optimizing our data pipelines and solutions. You will collaborate with passionate colleagues, work on exciting projects, and have the opportunity to grow your skills while making a meaningful impact on the business.

We are committed to creating an environment where everyone — across all backgrounds and identities — feels welcomed, valued, and supported. This is your chance to bring your technical expertise, make a meaningful impact in Brazil, and grow your career within a global organization.

 

YOU'LL HAVE THE OPPORTUNITY TO:

  • Design, implement, and maintain robust, scalable ELT data pipelines to support analytics, ensuring efficient integration with CI/CD processes. Develop automated testing and deployment workflows while maintaining strong version control practices using Azure Repos
  • Work closely with Strategic Planning, Channel Management and Customer Experience teams to understand data needs and deliver high-quality solutions
  • Collaborate closely with Agile squads to drive iterative development, ensure efficient workflows, and foster a culture of continuous improvement and innovation
  • Build data integrations from multiple sources, including EMS, LMS and GIS
  • Design, implement and optimize data models with a medallion architecture using Star Schema and Snowflake techniques to enhance query performance and support analytical workloads
  • Ensure data quality, consistency, and reliability across all datasets
  • Collaborate with analysts and data scientists to deliver clean, usable data for reporting and advanced analytics
  • Help establish best practices and contribute to a positive, inclusive, learning-focused team culture
  • Document technical processes clearly to ensure easy future maintenance
  • Stay up to date with new tools, technologies, and approaches in data engineering and analytics

 

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES: 

Technical Expertise:

  • Significant experience with:
  • Snowflake
  • DBT
  • Python
  • Dagster, Airflow, or similar orchestrating tool
  • Knowledge of additional technologies is a plus:
  • Azure
  • Microsoft SQL Server
  • Power BI

 

Programming Skills:

  • Strong proficiency in:
  • SQL
  • Python
  • Familiarity with additional languages is a plus:
  • Javascript / Node.js
  • Java

 

Other Skills:

  • Experience working with customer (B2B or B2C) data, Sales (Retail or Wholesale) data, Incentive Programs or Satisfaction/Experience data is a plus
  • Experience validating data quality and performing data profiling
  • Comfortable working in Agile teams and with DevOps practices
  • Strong interpersonal and communication skills, in Portuguese and English
  • Passion for continuous learning and openness to new ideas and technologies
  • A collaborative and supportive working style, with an openness to sharing knowledge
  • Commitment to fostering an inclusive and respectful team environment

 

STAND OUT WITH...

  • Experience with SAP, Salesforce, Qualtrics
  • Power BI or Dashboard development experience
  • Familiarity with AI/ML applied to business data
  • Certifications in Snowflake, DBT, Azure, or related fields
  • Understanding of EMS, LMS and GIS

 

ACKNOWLEDGING THE POWER OF DIVERSITY

BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.  

WELCOME TO BRP

We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination; It’s about the journey. 

This position is temporary and  based in Campinas, Brazil.

You will have the opportunity to work in hybrid mode.

Resumes in English will be preferred.