[29753] - Senior Data Visualization Engineer
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 Data Visualisation Engineer with strong knowledge in developing and maintaining data ingestion pipelines and integrating data from various sources, such as APIs, relational databases, files, and many others!
Position Overview
Design, build, and optimize semantic data models in Tableau to support self-service analytics and enterprise reporting.
Develop, maintain, and optimize Tableau dashboards, reports, and datasets, ensuring accuracy, usability, and performance.
Partner with data engineering teams to define and validate data pipelines in Databricks and ensure seamless integration with BI models.
Collaborate with multifunctional teams and stakeholders to translate business requirements into scalable BI solutions.
Drive the migration strategy from Looker to Databricks + Tableau, ensuring minimal disruption and high adoption.
Implement best practices in data governance, performance optimization, and security for BI assets.
Ensure the quality and integrity of data used for decision-making.
Identify and resolve data and dashboard performance issues.
Familiarity with Looker for data visualization, reporting, and analytics is highly desirable but not essential.
Must Haves
Proven experience in developing dashboards in Tableau.
Consolidated experience with Data Visualisation.
Solid knowledge of SQL and manipulation of large volumes of data.
Solid foundation in Dimensional Data Modelling.
Familiarity with ETL (Extract, Transform, Load) methodologies and data integration tools.
Ability to analyse and interpret complex data to generate clear and understandable reports.
Advanced English is essential.
Position Overview
Design, build, and optimize semantic data models in Tableau to support self-service analytics and enterprise reporting.
Develop, maintain, and optimize Tableau dashboards, reports, and datasets, ensuring accuracy, usability, and performance.
Partner with data engineering teams to define and validate data pipelines in Databricks and ensure seamless integration with BI models.
Collaborate with multifunctional teams and stakeholders to translate business requirements into scalable BI solutions.
Drive the migration strategy from Looker to Databricks + Tableau, ensuring minimal disruption and high adoption.
Implement best practices in data governance, performance optimization, and security for BI assets.
Ensure the quality and integrity of data used for decision-making.
Identify and resolve data and dashboard performance issues.
Familiarity with Looker for data visualization, reporting, and analytics is highly desirable but not essential.
Must Haves
Proven experience in developing dashboards in Tableau.
Consolidated experience with Data Visualisation.
Solid knowledge of SQL and manipulation of large volumes of data.
Solid foundation in Dimensional Data Modelling.
Familiarity with ETL (Extract, Transform, Load) methodologies and data integration tools.
Ability to analyse and interpret complex data to generate clear and understandable reports.
Advanced English is essential.
Analytics pay context
Based on 913 disclosed Analytics salaries on RoleSuite, the role pays a median of $122K/year, with most offers between $100K and $157K (10th–90th percentile: $85K–$197K).
See the full Analytics salary breakdown →