Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
About the role
- Mid-level Data Engineer turning data into reliable insights for Code for All's mission. Building data pipelines and collaborating with teams to enable data-informed decisions.
Responsibilities
- Build and maintain data pipelines for analytics and ML use cases
- Prepare, clean, and structure datasets for analysis and model training
- Support the development and training of machine learning models through well-prepared data
- Improve data quality, documentation, and accessibility
- Work with stakeholders to translate questions into data solutions
Requirements
- Previous experience in data engineering and analytics engineering roles.
- Strong working knowledge of Python and SQL
- Experience with ETL/ELT pipelines
- Familiarity with analytics and ML data workflows
- You are committed to providing a great employee experience;
- Excellent communication and teamwork skills;
- Proficient in both Portuguese and English.
- Nice to have: Exposure to ML in production
- Experience with cloud data platforms and/or BI tools
Benefits
- Health Insurance 💙 because your well-being matters.
- Meal Allowance (as per company policy).
- Urban Sports Club Subscription – stay active and energized!
- Extra vacation days (your birthday + an extra one during Christmas week!).
- Hybrid work & flexibility – because we value work-life balance.
- A collaborative, innovative culture where your ideas matter.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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