29868 - Data Analytics Engineer - DBT Modelling (Contract)

  • Ciandt
  • 18/06/2026
Full time Information Technology Telecommunications

Job Description

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 a contractor to join us on a 6 month basis to help 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

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.