Senior Data Developer, Analytics Engineer

CI&T

Senior Data Developer serving as a bridge between business and technology at CI&T. In charge of data product lifecycle from ingestion to delivery ensuring structure and validation for AI frameworks.

Posted 7/7/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and Python for data analysis and transformation, with a strong focus on data modeling and data warehouse design. Capable of delivering high-quality data solutions while effectively communicating complex technical concepts to non-technical stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData ModelingBigQuery ExperienceAI Data Preparation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data EngineeringAnalytics EngineeringData TransformationData ValidationData IngestionData Warehouse DesignAutomated TestingQuality ChecksData Dictionary CreationBusiness Logic Validation

Soft Skills

Proactive MindsetStrong Sense of OwnershipEffective CommunicationStakeholder EngagementProblem-Solving

Tools & Technologies

BigQueryAI PlatformsAnalytics Platforms

Industry Keywords

Data ProductsData LifecycleData AccuracyIntelligent ReportingCloud-Based Data Warehouse

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology
Own the complete lifecycle of data products – from ingestion and modeling through final delivery
Ensure that data is structured, validated, and ready for consumption in AI and analytics environments
Actively engage with business stakeholders to understand context, challenges, and underlying needs
Translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms
Take full responsibility for the data products built – from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring
Implement and maintain rigorous validation processes, automated testing, and quality checks to ensure data accuracy and integrity
Design and implement data transformation layers that pre-aggregate business information
Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities
Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python
Proactively identify improvement opportunities, anticipate internal customer needs, and propose innovative solutions
Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with high quality standards
Articulate technical concepts clearly 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 other cloud-based data warehouse platform)
Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical
Strong sense of ownership and proactive mindset – a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act
Experience specifying and preparing data requirements for AI or machine learning applications
Advanced/fluent English (reading, writing, and conversation) – constant communication with international stakeholders is required
Track record of delivering high-impact projects quickly and with quality.

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnerships 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
And many more!