[Job-30800] Master Data Engineer, Brazil
Summary
Designs and builds scalable cloud-based data pipelines and warehouses for global clients using Python, SQL, Databricks, and PySpark.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
At CI&T, we are looking for a talented and experienced Data Engineer to join our team and help build scalable, high-performance data solutions for global clients.
In this role, you will be responsible for designing, developing, and maintaining modern data pipelines and cloud-based data platforms that enable analytics, reporting, and data-driven decision-making. You will collaborate with cross-functional teams, ensuring data quality, reliability, and performance while implementing best practices in Data Engineering.
Responsibilities
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Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
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Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
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Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
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Develop integrations between multiple data sources, APIs, and third-party platforms.
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Collaborate with Data & Analytics Managers, Data Scientists, and business stakeholders to translate business requirements into technical solutions.
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Monitor and optimize data pipeline performance, query efficiency, and infrastructure costs.
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Create and maintain technical documentation for data architectures, pipelines, and engineering processes.
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Implement data security best practices and support compliance with data privacy standards.
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Leverage AI-powered tools and automation to improve engineering productivity and development workflows.
Required Qualifications
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Advanced English (B2 or higher).
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Experience working with international clients.
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Strong experience in Data Engineering and ETL/ELT pipeline development.
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Hands-on experience with Python and SQL.
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Experience with Databricks and PySpark.
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Experience with modern data warehouse platforms such as BigQuery, Snowflake, Redshift, or similar.
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Solid understanding of data modeling, database design, and data architecture principles.
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Ability to design scalable, reliable, and maintainable data solutions.
Nice to Have
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Experience with cloud platforms such as AWS, Azure, or GCP.
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Experience with modern Data Stack tools, including dbt, Airflow, Fivetran, Stitch, or similar.
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Experience with streaming technologies such as Kafka, Pub/Sub, or Kinesis.
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Knowledge of data visualization platforms such as Tableau or Looker.
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Experience with Docker and container orchestration using Kubernetes.
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Familiarity with AI/ML pipelines and MLOps concepts.
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Experience with Infrastructure as Code (Terraform, CloudFormation).
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Cloud or Data Engineering certifications.
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Experience designing scalable database architectures.
If you are passionate about Data Engineering, modern cloud technologies, and building scalable data solutions in a collaborative global environment, we'd love to hear from you!
#LI-LL1
Skills
- Agentic AI
- AI
- Airflow
- Analytics
- API
- Automation
- AWS
- Azure
- BigQuery
- Cloud
- CloudFormation
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Quality
- Data Visualization
- Data Warehousing
- Databricks
- dbt
- Docker
- ELT
- ETL
- Fivetran
- GCP
- Infrastructure as Code
- Kafka
- Kinesis
- Kubernetes
- Looker
- Machine Learning
- MLOps
- PySpark
- Python
- Redshift
- SDLC
- Snowflake
- SQL
- Tableau
- Terraform
As published by lever · 22 questions
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL
Short answers (7)
- If the previous answer is Yes, please share the name(s) of these individuals. optional
- What is your salary expectation for this position? (Brazilian Reals - CLT)
- How comfortable do you feel working in an English-speaking environment?
- Confirm the name of the company where you work/ Confirme o nome da empresa em que você trabalha atualmente
- What is your salary expectation? Only the numeric value (no currency, text, or benefits)/ Qual é a sua pretensão salarial? Apenas o valor numérico (sem moeda, texto ou benefícios).
- If you feel comfortable, please share your current or last salary and benefits / Caso se sinta confortável, compartilhe seu salário atual ou ultimo e benefícios optional
- Which city/state do you currently reside in? Qual cidade/estado reside atualmente? optional
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- Do you have any relatives (such as parents, siblings, in-laws, spouses, or children, stepchildren, stepfather/stepmother, son-in-law/daughter-in-law), close friends, or acquaintances (with whom you have a significant and ongoing relationship) who currently work at CI&T? optional
- Do you have availability for on-site work at the Campinas office (Brazil) every day? Just for informational purposes, in case your application is considered for other open positions. optional
- Do you require any type of accessibility for the selection process and/or in your daily life?? optional
- The answers below are optional. This data will be used for our affirmative actions. Considering this scenario, do you feel comfortable answering the questions below? optional
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- How do you self-declare your color/race? optional
- Are you a person with disabilities? optional
- If so, tell us what type of disability you have optional
- [EN] What is your level of confidence when communicating and collaborating in an English-speaking work environment? optional
- [ES] What is your level of confidence when communicating and collaborating in an Spanish-speaking work environment? optional
- By selecting the option below, I declare that I have read, understood, and agree to the terms of this document, and I consent to the processing of my personal data by CI&T and Lever for the purposes described herein. Read the document here: https://drive.google.com/file/d/1dMaskYl2VD1AtN9MfiHrZiA-YFYwq8aI/view optional
- Como você avalia seu conhecimento com Python?
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