Senior Analytics Engineer — Pricing & BI Data Modeling Lead

CI&T

Lisboa

On-site

EUR 70,000 - 95,000

Full time

3 days ago
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Benefits offered by this job

Competitive Salary
Generous paid vacation days
Generous sick time
100% paid health & dental benefits
Annual profit-sharing distribution
Paid parental leave
Dedicated career advisor

Job summary

CI&T invites a Senior Analytics Engineer to design, maintain, and evolve data models powering BI and analytics. You will own the layered dbt data model, enabling reliable data consumption across Power BI and downstream applications.

You will drive data transformations with dbt and SQL, extend models for a pricing engine MVP, harmonize KPIs across regions, and build analytics solutions using Databricks, Azure, and Python to deliver measurable business insights.

Qualifications

  • Strong experience in analytics engineering or data-focused roles.
  • Advanced SQL and hands-on dbt experience.
  • Experience designing and maintaining layered data models for analytics and business intelligence.
  • Experience with Databricks and Azure data environments.
  • Proficiency in Python for data processing, analysis, or automation.
  • Experience with Power BI, particularly data modeling for reporting and analytics.
  • Strong understanding of data quality, data validation, and consistent metric definitions.
  • Ability to translate business requirements into robust, reusable data models.
  • Strong analytical and problem-solving skills, with attention to detail and data accuracy.
  • Excellent communication and collaboration skills, including the ability to work with stakeholders across different regions.

Responsibilities

  • Own and evolve layered dbt data model for Power BI and downstream consumers.
  • Develop data transformations with dbt and SQL following best practices.
  • Extend data models to support pricing engine MVP and price elasticity analysis.
  • Harmonize KPIs across regions with consistent definitions.
  • Build analytical data solutions using Databricks and Azure.
  • Apply Python to support data processing and automation.
  • Develop and maintain data models for Power BI reporting.
  • Ensure data quality, consistency, and usability across models.
  • Collaborate with stakeholders across regions to translate requirements.
  • Contribute to data architecture improvements and analytics standards.

Skills

SQL
dbt
Databricks
Azure
Python
Power BI
Data modeling
Analytics engineering
Data quality
Communication

Tools

dbt (tool)
Power BI Desktop
Azure Data Factory

Job description

CI&T invites a Senior Analytics Engineer to design, maintain, and evolve data models powering BI and analytics. You will own the layered dbt data model, enabling reliable data consumption across Power BI and downstream applications.

You will drive data transformations with dbt and SQL, extend models for a pricing engine MVP, harmonize KPIs across regions, and build analytics solutions using Databricks, Azure, and Python to deliver measurable business insights.

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