Senior Analytics Engineer

CI&T

. Design, maintain, and evolve data models powering business intelligence and analytical solutions .

Posted 10/9/2026full-timeRemote • PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in SQL and dbt for designing and maintaining layered data models, alongside expertise in Python for data processing and automation. Capable of building analytical solutions using Databricks and Azure while ensuring data quality and consistency across business intelligence applications.

Highest-signal resume keywords

SQL ProficiencyDbt ExperiencePower BI Data ModelingDatabricks and Azure ExpertiseData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtPythonData ModelingData TransformationData QualityAnalytics EngineeringData ArchitectureData ValidationPricing Analysis

Soft Skills

Analytical SkillsProblem-SolvingAttention to DetailCommunicationCollaboration

Tools & Technologies

Power BIDatabricksAzure

Industry Keywords

Business IntelligencePricing MethodologyKPI HarmonizationCommercial AnalyticsData Governance

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Design, maintain, and evolve data models powering business intelligence and analytical solutions
Own and evolve the layered dbt data model for reliable data consumption across Power BI and downstream applications
Develop and maintain modular, tested, documented, and maintainable dbt and SQL data transformation workflows
Extend data models to support the pricing engine MVP, item categorization, and price elasticity analysis
Harmonize business KPIs across regions to support a common pricing methodology
Build and optimize analytical data solutions using Databricks and Azure
Apply Python for data processing, analysis, and automation
Develop and maintain Power BI data models for accurate reporting and business insights
Ensure data quality, consistency, and usability across analytical models and downstream applications
Collaborate with business stakeholders, data teams, and regional teams on scalable data solutions
Contribute to improvements in data architecture, modeling practices, and analytics engineering standards

Requirements

What you’ll need

Strong experience in analytics engineering, data engineering, or a related data-focused role
Advanced proficiency in SQL and hands-on experience with dbt
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 and preparing data 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
Experience supporting pricing, revenue optimization, or commercial analytics initiatives
Knowledge of price elasticity, product categorization, and pricing performance metrics
Experience harmonizing KPIs and business definitions across regions or markets
Familiarity with modern data architecture and scalable analytical data platforms
Experience with data testing, documentation, lineage, and governance practices
Ability to balance technical modeling decisions with business priorities and analytical needs

Benefits

Comp & perks

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