Mid-Level/Senior Data Engineer

CI&T

. Provide technical leadership in the design, implementation, and evolution of data architectures and platforms .

Posted 10/26/2026full-timeBrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a focus on designing and implementing scalable data architectures, data pipelines, and governance practices. Proficient in applying AI and FinOps principles to enhance data solutions and optimize costs.

Highest-signal resume keywords

Data EngineeringSQLPythonSparkData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData Pipeline DevelopmentETL/ELT ProcessesRelational Data ModelingDimensional Data ModelingData Quality PracticesCI/CD PracticesDistributed ProcessingMachine Learning Data SolutionsObservability

Soft Skills

Technical LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

DatabricksCloud EnvironmentsData LakeData WarehouseLakehouse SolutionsGovernance Tools

Certifications & Qualifications

Data CertificationsCloud CertificationsDistributed Processing Certifications

Industry Keywords

FinOpsData IntegrityData SecurityData AvailabilityInternational Projects

Tech Stack

Tools & technologies

CloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Provide technical leadership in the design, implementation, and evolution of data architectures and platforms
Design, develop, and maintain scalable, resilient, high-performance data pipelines
Define standards and best practices for Data Lake, Data Warehouse, and Lakehouse solutions
Collaborate with different teams to ensure data integrity, quality, security, and availability
Implement Data Quality and observability practices in pipelines
Develop and evolve CI/CD pipelines for data processes and ETL/ELT
Define and implement relational and dimensional data models
Implement Data Governance practices, including cataloging, lineage, and access control
Document architectures, workflows, processes, and technical decisions
Troubleshoot complex technical issues and conduct root-cause analyses
Apply FinOps principles to monitor and optimize solution costs
Provide technical guidance to the team, contributing to its autonomy and growth
Use AI to increase productivity and quality throughout the data engineering lifecycle

Requirements

What you’ll need

Solid experience in Data Engineering, working in complex, large-scale environments
Experience serving as a technical reference, supporting architectural decisions and team development
Advanced knowledge of SQL, Python, and Spark
Experience with data solutions for Machine Learning, generative AI, or agent-based systems
Experience with modern data stacks in cloud environments
Experience building data pipelines and ETL/ELT processes
Knowledge of data architecture, distributed processing, and integration across different sources
Experience with CI/CD practices applied to data solutions
Knowledge of relational and dimensional data modeling
Ability to evaluate solutions based on scalability, security, performance, cost, and operational sustainability
Experience applying AI throughout the software development and data engineering lifecycle
Advanced English proficiency for communication with clients and international teams
Degree in Computer Science, Information Technology, Engineering, or a related field
Experience with multiple cloud providers
Experience with Databricks or equivalent platforms
Certifications related to data, cloud, or distributed processing
Experience with Data Lake, Data Warehouse, and Lakehouse architectures
Knowledge of Data Quality, observability, and data reliability
Experience with cataloging, lineage, and governance tools
Knowledge of FinOps applied to the data ecosystem
Experience working on international projects or with international teams

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended parental leave
Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
Profit-Sharing and Results Participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to promoting physical and mental health and well-being
Pregnancy and responsible parenting course
Partnerships with online course platforms
Language-learning platform
Support and accommodations for people with disabilities during the hiring process
Assistance obtaining disability documentation for people with disabilities
Dedicated Health and Well-being team
Inclusion specialists and affinity groups