Engenharia de Dados Sênior (Analytics) in Brazil at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenharia de Dados Sênior (Analytics) based in Brazil.

This role offers the opportunity to design and evolve data solutions that turn complex information into reliable insights for business decision-making.
You will work across the data lifecycle, from integration, transformation, and modeling to the delivery of analytical datasets and BI solutions.
The position combines data engineering and analytics engineering, with a strong focus on Databricks, SQL, and Power BI.
You will translate business needs into scalable data structures, meaningful metrics, and analytical models.
Your work will directly support the creation of trustworthy dashboards, indicators, reports, and data-driven decision-making.
You will collaborate closely with business and technical stakeholders in an environment that values autonomy, data quality, and continuous improvement.
This is an excellent opportunity for a senior data professional seeking to expand their impact across both engineering and analytics.

• Develop and maintain data integration, transformation, and processing solutions, primarily using Databricks and SQL.

• Design and structure data models that are reliable, organized, and optimized for analytical consumption.

• Develop and optimize data transformation processes to support trustworthy analytical datasets, reports, and business indicators.

• Apply analytics engineering principles to connect business requirements with effective data structures and models.

• Build metrics, KPIs, analytical models, and other data assets that support business decision-making.

• Develop and maintain Power BI reports, dashboards, semantic models, and analytical views.

• Integrate information from multiple data sources and ensure consistency across the resulting datasets.

• Collaborate with business and technical stakeholders to translate requirements into practical data and analytics solutions.

• Ensure the consistency, integrity, accuracy, and quality of data used in analytical processes.

• Identify opportunities to improve data pipelines, models, reporting solutions, and analytical workflows.

• Apply senior-level technical autonomy when planning and executing data engineering and analytics activities.

• Contribute to continuous improvement of data practices, architecture, and analytical capabilities.

• Solid hands-on experience with Databricks.

• Strong SQL skills and practical experience using SQL for data transformation, analysis, and engineering.

• Professional experience with Power BI, including the development of models, metrics, indicators, reports, and dashboards.

• Experience with data modeling and transformation.

• Knowledge and practical experience with analytics engineering principles and practices.

• Experience integrating data from different sources and preparing information for BI and analytics solutions.

• Ability to structure and organize data for reliable analytical consumption.

• Senior-level technical maturity and autonomy to independently conduct data and analytics activities.

• Strong analytical and problem-solving skills, with the ability to translate business needs into effective data solutions.

• Ability to collaborate with different stakeholders and communicate technical concepts clearly.

• Nice to have: Intermediate or advanced English proficiency.

• Nice to have: Microsoft Azure certifications.

• Nice to have: Databricks certifications.

• Remote work model.

• Opportunity to work on data engineering and analytics initiatives with significant business impact.

• Exposure to modern data technologies, particularly Databricks, SQL, and Power BI.

• Opportunity to operate across both data engineering and analytics engineering disciplines.

• Senior-level autonomy and ownership over data and analytics solutions.

• Collaborative environment involving business and technical stakeholders.

• Continuous opportunities to develop expertise in data modeling, BI, analytics, and modern data platforms.