Hybrid Data Engineer – Mid-level Data Intelligence Analyst

at DM

• Job title: Data Engineer – Mid-level Data Intelligence Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Azure, MongoDB, MySQL, Numpy, Pandas, Postgres, Python, Scikit-Learn, Spark, SQL, Tableau
• Location requirements: Hybrid, Sao Jose dos Campos, Brazil

About the role

• Data Analyst leveraging data to support business decisions. Collaborating with technology teams and automating data workflows.

Responsibilities

• Work closely with technology, business, Data Scientists and Data Engineers on analytical and automation projects;
• Operate and configure automation tools and data agents, ensuring analysis quality and consistency;
• Extract data from primary and secondary sources, cleaning and organizing relevant information;
• Evaluate and validate outputs produced by generative AI (dashboards, text, analyses) to ensure accuracy and reduce bias;
• Analyze and interpret results using statistical techniques and analytical tools;
• Identify trends and patterns in datasets, proposing improvements to business processes;
• Create automated reporting and dashboard workflows to reduce repetitive manual tasks;
• Support rapid experimentation initiatives with LLMs/AI models in collaboration with Data Scientists;
• Document, version and monitor work performed, following established standards.

Requirements

• Previous experience in Data roles;
• Degree in Computer Science, Software Engineering, Statistics or related fields;
• Familiarity with data analysis and visualization tools (Power BI, Excel, Tableau is a plus);
• Proficiency in SQL and relational and non-relational databases (SQL Server, MySQL, MongoDB, Postgres);
• Knowledge of Python and data analysis libraries (Pandas, NumPy, Matplotlib);
• Basic understanding of Machine Learning and generative AI (Scikit-learn, use of APIs such as OpenAI, Hugging Face, Azure AI);
• Familiarity with data automation tools (Airflow, dbt, n8n or equivalents);
• Ability to structure prompts and interact with language models (basic prompt engineering);
• Good communication skills and ability to translate analyses into practical business recommendations;
• Knowledge of Spark is a plus.

Benefits

• Flexible benefit card (CAJU) - can be used for food, meals, transportation and more.
• Health insurance.
• Dental insurance (Bradesco).
• Life insurance.
• Study incentive programs.
• English course - English Pass (partnership available to all DM employees).
• Wellhub for exercise and wellness.
• DM VISA card with pre-approved limit.
• Flexible working hours.
• Private pension plan.
• ShortDay - early logoff so you can take care of yourself!
• No dress code – the important thing is that you feel comfortable.
• Day off on your birthday - a gift from DM to you!
• PPR (Profit-sharing/Results Participation Program).
• For parents: childcare assistance for children up to 6 years old.
• For parents: extended maternity and paternity leave — 6 months for mothers and 20 days for fathers.