CI&T
[Job-00027] Senior Analytics Engineer, Portugal
Portugal · Remote (restrictions not stated)
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerCI&T
- LocationPortugal
- Work styleRemote (restrictions not stated)
- Employer posted
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 are looking for a Senior Analytics Engineer to design, maintain, and evolve data models that power business intelligence and analytical solutions. In this role, you will own the layered dbt data model, enabling reliable data consumption across Power BI and downstream applications.
You will play a key role in supporting the development of a pricing engine, enhancing item categorization and price elasticity analysis, and harmonizing KPIs across regions to establish a consistent, data-driven pricing methodology.
Show full description
Responsibilities
- Own and evolve the layered dbt data model, ensuring reliable, consistent, and well-structured data for Power BI and downstream consumers.
- Develop and maintain data transformation workflows using dbt and SQL, following best practices for modularity, testing, documentation, and maintainability.
- Extend existing data models to support the pricing engine MVP, including item categorization and price elasticity analysis.
- Harmonize business KPIs across regions, ensuring consistent definitions and calculations to support a common pricing methodology.
- Build and optimize analytical data solutions using Databricks and Azure.
- Apply Python where needed to support data processing, analysis, and automation.
- Develop and maintain data models for Power BI, enabling accurate reporting and effective business insights.
- Ensure data quality, consistency, and usability across analytical models and downstream applications.
- Collaborate with business stakeholders, data teams, and regional teams to translate analytical requirements into scalable data solutions.
- Contribute to continuous improvements in data architecture, modeling practices, and analytics engineering standards.
Requirements for this challenge
- 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.
Nice to Have
- 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.
#LI-GP1
Why join us?
- 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
And so much more…
Collaboration is our superpower, diversity unites us, and excellence is our standard.
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.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Data engineer jobs in Portugal
ROLIVA currently lists 11 open roles like this in Portugal.
Employers hiring for this
- Amgen2 open roles
- CI&T2 open roles
- Aumovio1 open role
- Continental1 open role
- GoCardless1 open role
At a glance
- Work styleRemote (restrictions not stated)
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.