Job Description
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
About the job
- Posted on
- Jul 27, 2026
- Job type
- Full-time
- Location
- BrazilRemote
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