DM

Data Engineer – Mid-level Data Intelligence Analyst

DM

full-time

Posted on:

Location Type: Hybrid

Location: São José dos Campos • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAzureMongoDBMySQLNumpyPandasPostgresPythonScikit-LearnSparkSQLTableau

About the role

  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonPandasNumPyMatplotlibMachine Learninggenerative AIdata analysisdata visualizationdata automation
Soft skills
communicationanalytical thinkingproblem-solvingcollaborationdocumentationattention to detailadaptabilitycreativitycritical thinkingbusiness acumen