Senior Data Engineer at Retail Insight shaping data platforms and mentoring junior engineers. Leading data services design and collaborating with cross - functional teams for client success.
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
Data Engineer creating scalable, reliable data solutions for Retail Insight's clients and enhancing the data ecosystem. Collaborating with software engineers to ensure data quality and accessibility.
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