Senior Data Developer – AI Solutions

CI&T

. Engage with business stakeholders to understand context, challenges, and underlying needs .

Posted 10/5/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in SQL and Python for data analysis and transformation, with a strong focus on data modeling, validation, and delivering high-quality data solutions. Capable of engaging with stakeholders to translate complex requirements into actionable technical specifications for AI and analytics platforms.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProficiencyData Warehouse DesignBigQuery Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData TransformationData ValidationAutomated TestingData IngestionData AnalysisKPI DevelopmentCloud-Based Data WarehousingAI Application Data RequirementsCI/CD for Data Pipelines

Soft Skills

Proactive MindsetStrong Sense of OwnershipCommunication Skills

Tools & Technologies

BigQueryDbtAirbyteAirflow

Industry Keywords

Data ProductsData AccuracyData IntegrityBusiness MetricsData Solutions

Tech Stack

Tools & technologies

AirflowBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Engage with business stakeholders to understand context, challenges, and underlying needs
Translate complex requirements into detailed technical specifications for AI and analytics platforms
Own data products end to end, from ingestion and modeling through transformation, validation, final delivery, and monitoring
Implement validation processes, automated testing, and quality checks
Ensure data accuracy, integrity, and business-aligned metrics and KPIs
Design and implement data transformation layers and consistent business rules
Deliver datasets for dashboards and AI applications
Collaborate with AI teams on structured data, data dictionaries, and models
Build and maintain ingestion pipelines from multiple sources using SQL and Python
Ensure solution performance and scalability
Identify improvement opportunities and propose innovative solutions
Deliver reliable data solutions rapidly and to high quality standards
Explain technical concepts to non-technical audiences
Facilitate alignments, present solution proposals, and document modeling and architecture decisions

Requirements

What you’ll need

Proven experience in a Data Engineering or Analytics Engineering role at senior level
Advanced proficiency in SQL and Python for data analysis, transformation, and validation
Solid experience in data modeling and data warehouse design
Hands-on experience working with BigQuery or another cloud-based data warehouse platform
Ability to understand complex business logic and validate results from a business perspective
Strong sense of ownership and proactive mindset
Experience specifying and preparing data requirements for AI or machine learning applications
Advanced/fluent English in reading, writing, and conversation
Track record of delivering high-impact projects quickly and with quality
Nice to have: experience with dbt
Nice to have: familiarity with Airbyte or Airflow
Nice to have: knowledge of automated testing best practices and CI/CD for data pipelines

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
Profit Sharing and Results Participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to physical, mental, and overall well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
Inclusion support and accommodations for people with disabilities
Dedicated Health and Well-being team, inclusion specialists, and affinity groups