[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.