Data Engineer (35360)
Posted 5
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Summary
Builds and maintains ETL/ELT data pipelines and integrations for VFS LATAM's Azure-based Data Platform and Data Lake across Brazil, Chile, Mexico, and Peru, ensuring data quality and governance while partnering with analysts, data scientists, and business teams on analytics and AI initiatives. Core stack: SQL, Azure cloud data services, pipeline orchestration, and AI-assisted dev tools like GitHub
activities
At VFS LATAM, this professional will support the Data & AI journey across Brazil, Chile, Mexico, and Peru, developing scalable data solutions for the regional Data Platform, Data Lake, analytics, AI initiatives, and strategic business KPIs. What you will do: • Develop and maintain data pipelines and integrations across multiple systems and markets; • Support the evolution of the Azure-based Data Platform and Data Lake; • Ensure data quality, reliability, governance, and operational stability; • Develop and optimize ETL/ELT processes for structured and unstructured data; • Partner with Data Analysts, Data Scientists, Business Teams, and Global Data teams to enable analytics and AI solutions; • Support strategic data products, dashboards, reporting, and predictive initiatives; • Contribute to automation, monitoring, and continuous improvement of data engineering practices, including AI-assisted development tools.
requirements
Essential requirements: • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related fields; • Experience with data pipelines and data integration solutions; • Solid SQL skills and experience with relational databases; • Experience with ETL/ELT development and pipeline orchestration; • Experience with cloud platforms, preferably Microsoft Azure; • Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar; • Knowledge of data modeling, data quality, and data governance; • Advanced English for communication in an international environment; • Strong analytical, problem-solving, communication, and collaboration skills. Nice to have: • Azure Data Factory, Databricks, Synapse, Fabric, or similar platforms; • Python, Spark, or other data engineering technologies; • Experience supporting AI, Machine Learning, or Generative AI initiatives; • Experience in financial services, banking, insurance, or leasing; • Knowledge of Agile methodologies and DevOps practices; • Experience in multinational and multicultural environments. Benefits: Medical and dental insurance, on-site medical clinic, pharmacy assistance, corrective lenses reimbursement, childcare and special education allowances, extended parental leave, meal/food vouchers, on-site meals (depending on location), company shuttle, PLR, Vikingprev private pension, life insurance, Volvo Association Club, and wellness/gym app. Volvo do Brasil values diversity and equal opportunities and encourages people with disabilities (PwDs) to apply.
At VFS LATAM, this professional will support the Data & AI journey across Brazil, Chile, Mexico, and Peru, developing scalable data solutions for the regional Data Platform, Data Lake, analytics, AI initiatives, and strategic business KPIs. What you will do: • Develop and maintain data pipelines and integrations across multiple systems and markets; • Support the evolution of the Azure-based Data Platform and Data Lake; • Ensure data quality, reliability, governance, and operational stability; • Develop and optimize ETL/ELT processes for structured and unstructured data; • Partner with Data Analysts, Data Scientists, Business Teams, and Global Data teams to enable analytics and AI solutions; • Support strategic data products, dashboards, reporting, and predictive initiatives; • Contribute to automation, monitoring, and continuous improvement of data engineering practices, including AI-assisted development tools.
requirements
Essential requirements: • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related fields; • Experience with data pipelines and data integration solutions; • Solid SQL skills and experience with relational databases; • Experience with ETL/ELT development and pipeline orchestration; • Experience with cloud platforms, preferably Microsoft Azure; • Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar; • Knowledge of data modeling, data quality, and data governance; • Advanced English for communication in an international environment; • Strong analytical, problem-solving, communication, and collaboration skills. Nice to have: • Azure Data Factory, Databricks, Synapse, Fabric, or similar platforms; • Python, Spark, or other data engineering technologies; • Experience supporting AI, Machine Learning, or Generative AI initiatives; • Experience in financial services, banking, insurance, or leasing; • Knowledge of Agile methodologies and DevOps practices; • Experience in multinational and multicultural environments. Benefits: Medical and dental insurance, on-site medical clinic, pharmacy assistance, corrective lenses reimbursement, childcare and special education allowances, extended parental leave, meal/food vouchers, on-site meals (depending on location), company shuttle, PLR, Vikingprev private pension, life insurance, Volvo Association Club, and wellness/gym app. Volvo do Brasil values diversity and equal opportunities and encourages people with disabilities (PwDs) to apply.