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.
We're looking for an Analytics Engineer to help us with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
In this role you'll:
Build and maintain DBT models for cross-domain analytics use cases
Create reusable facts, dimensions and marts for analytics consumption
Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
Implement dbt tests, source freshness checks and reconciliation logic
Translate business requirements into data models and metric logic
Support data quality checks and model validation
Document model definitions, business rules, assumptions and lineage
Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
Create reusable facts, dimensions and marts for analytics consumption
Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
Implement dbt tests, source freshness checks and reconciliation logic
Translate business requirements into data models and metric logic
Support data quality checks and model validation
Document model definitions, business rules, assumptions and lineage
Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
We need someone with these skills:
Strong hands-on experience with DBT
Strong SQL and Snowflake experience
Experience building facts, dimensions, marts and analytics-ready data models
Strong understanding of data modelling and metric design
Experience implementing dbt tests, source freshness checks and data quality validations
Ability to translate business requirements into trusted data models
Experience working with analysts, product teams and business stakeholders
Good documentation skills for model logic, metric definitions and lineage
Experience working in modern data stack environments
#LI-BM2
Our benefits:
-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
And many more!
More details about our benefits here: https://ciandt.com/br/pt-br/carreiras
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
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