
51 - 200 employees
Founded 2013
📱 Media
🛒 Retail
🤝 B2B
Media • Retail • B2B
Vitrio is a São Paulo–based company that provides data-driven interactive content, retail experience design, and performance services. It appears to operate as a service provider helping retailers and brands improve customer experience and marketing performance through analytics, interactive content, and retail-focused solutions. Vitrio lists contact and careers information for its Pinheiros office in São Paulo.
🕒 May 26
🗣️🇧🇷🇵🇹 Portuguese Required
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2013
📱 Media
🛒 Retail
🤝 B2B
Media • Retail • B2B
Vitrio is a São Paulo–based company that provides data-driven interactive content, retail experience design, and performance services. It appears to operate as a service provider helping retailers and brands improve customer experience and marketing performance through analytics, interactive content, and retail-focused solutions. Vitrio lists contact and careers information for its Pinheiros office in São Paulo.
• Assist in maintaining and developing pipelines that consolidate diverse sources (spreadsheets, analytics platforms, CRM systems, MMPs), helping make data available as Data Marts for dashboards and stakeholders. • Monitor existing data quality rules, helping identify, report, and resolve inconsistencies to ensure information reliability. • Support the team in query optimization and day-to-day troubleshooting. • Assist in creating and updating technical and business documentation for pipelines, models, and data rules. • Assist in addressing requests from the marketing and data intelligence teams, learning to translate business requirements into data solutions.
• Academic or practical knowledge of Python and/or basic R for script automation and data manipulation. • Strong SQL skills and a basic understanding of relational databases. Willingness to learn data modeling and cloud architecture. • Theoretical familiarity with, or willingness to learn, cloud data services (e.g., BigQuery). • Basic knowledge of Git for version control (commits, pushes, pull requests).
• Internet allowance • Childcare allowance • Health insurance • Company mobile phone
Apply Now🕒 May 22
1 - 10
Senior Data Engineer building scalable data pipelines and evolving data architecture for Brazil's financial system. Collaborating with data science and product teams in a hybrid work model.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
ETL
Python
Spark
🕒 May 22
5001 - 10000
🌾 Agriculture
💳 Fintech
Data Engineer at Hitss developing data pipelines and ensuring data quality across multiple platforms and sources.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
BigQuery
ETL
Google Cloud Platform
Python
SQL
🕒 May 22
1001 - 5000
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Data Engineer developing ETL/ELT processes in various platforms like SQL Server and Spark. Collaborating with teams for data quality and supporting cloud data modernization initiatives.
🗣️🇧🇷🇵🇹 Portuguese Required
Cloud
ETL
Google Cloud Platform
NoSQL
PySpark
Python
Spark
SQL
🕒 May 19
1 - 10
Senior Data Engineer developing scalable data pipelines using Databricks and AWS for a leading financial technology company. Focused on quality and data governance for impactful decision making.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
ETL
Python
Spark
🕒 May 14
5001 - 10000
💳 Fintech
🏦 Banking
🤝 B2B
Data Engineer at PagBank facilitating financial solutions through data analysis and collaboration. Responsibilities include SQL data modeling, ETL processes, and working with data teams.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
AWS
Cloud
ETL
SQL