[Job-30586] Analytics Engineer

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

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

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