Data Engineer

Our Commitment

At Volvo do Brasil, we believe that diverse perspectives, experiences, and talents strengthen our ability to develop solutions that create prosperity for society. We are committed to fostering an inclusive workplace grounded in equal opportunities, and we encourage people with disabilities (PwDs) to apply for all our job opportunities.

What you will do

At Volvo Financial Services (VFS) LATAM (Latin America), you will play a key role in accelerating our Data & AI (Artificial Intelligence) journey, helping transform data into a strategic asset that drives business growth, operational excellence, and customer-centric decisions across Brazil, Chile, Mexico, and Peru.

You will be responsible for developing and maintaining scalable data solutions that support our regional Data Platform, Data Lake, analytics initiatives, AI use cases, and strategic business KPIs (Key Performance Indicators).

Your responsibilities will include:

• Develop and maintain data pipelines and integrations across multiple business systems and markets.
• Support the evolution of our Azure-based Data Platform and Data Lake ecosystem.
• Support data quality, reliability, governance, and operational stability of critical data assets.
• Develop and optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for structured and unstructured data sources.
• Collaborate with Data Analysts, Data Scientists, Business Teams, and Global Data initiatives to enable analytics and AI solutions.
• Support the delivery of strategic data products, dashboards, reporting solutions, and predictive initiatives.
• Contribute to automation, monitoring, and continuous improvement of data engineering practices, including the use of AI-assisted development tools.

Who are you?

Essential requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• Experience building and supporting data pipelines and data integration solutions.
• Solid SQL (Structured Query Language) skills and experience with relational databases.
• Experience with ETL and ELT development and data pipeline orchestration.
• Experience working with cloud platforms, preferably Microsoft Azure.
• Experience with AI-assisted development tools for coding and automation, for example GitHub Copilot, Claude Code, or similar.
• Knowledge of data modeling, data quality, and data governance principles.
  
  

Nice to have:

• Experience with Azure Data Factory, Databricks, Synapse, Fabric, or similar data platforms.
• Knowledge of Python, Spark, or other data engineering technologies.
• Experience supporting AI, Machine Learning, or Generative AI initiatives.
• Experience with financial services, banking, insurance, or leasing industries.
• Understanding of Agile methodologies and DevOps (Development and Operations) practices.
• Experience working in multinational and multicultural environments.

Personal characteristics:

• Strong analytical and problem-solving skills.
• Customer-focused mindset.
• Continuous learning attitude and curiosity for emerging technologies.
• Ability to communicate effectively with both technical and business stakeholders.
• Collaborative mindset and willingness to work across countries and teams.
  
  

What Volvo Group Offers:

Health and Well-being for You and Your Family:

• Medical and dental insurance plans;
• On-site medical clinic;
• Pharmacy assistance program;
• Reimbursement for corrective lenses (ophthalmology);
• Sick leave assistance;
• Childcare allowance;
• Special education allowance;
• Extended maternity and paternity leave.

Meals:

• Meal and food vouchers and on-site meals (depending on work location).

Transportation:

• Company-provided shuttle transportation.

Financial Security:

• Profit Sharing Program (PLR);
• Private pension plan – Vikingprev;
• Life insurance.

Convenience and Quality of Life:

• Volvo Association Club;
• Access to a wellness app with partner gyms and fitness studios.

* * Benefits are granted in accordance with legal eligibility requirements and internal company policies.