Remote Data Jobs · Brazil

You'll be joining a strategic data platform integration project to consolidate data from different acquired companies into one unified Azure-based data warehouse. Integrate disparate data systems (NetSuite, SAP, Dynamics NAV, Business Central, Oracle) from multiple acquired companies, build a modern Azure data platform that scales globally, and enable executive decision-making with unified financial and operational reporting.

Develop and maintain scalable data pipelines using Scala and Apache Spark, focusing on performance and reuse. Structure and evolve the medallion architecture (bronze, silver, gold), ensuring governance, traceability, and data quality. Implement solutions for data ingestion, transformation, and delivery in cloud and lakehouse environments. Define and apply data engineering best practices, including versioning, automated testing, and CI/CD.

Lead the identification and analysis of business requirements within the BI context to develop strategic insights. Formulate data models that effectively transform raw data into actionable insights. Utilize advanced features of Power BI to create dynamic dashboards and interactive visual reports. Define and implement key performance indicators (KPIs) with specific objectives, ensuring their regular tracking and analysis. Translate business needs into comprehensive technical specifications and establish realistic project timelines.

Looking for a Mid Level 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. Design, build, and optimize semantic data models in Power BI to support self-service analytics and enterprise reporting. Develop, maintain, and optimize Power BI dashboards, reports, and datasets, ensuring accuracy, usability, and performance.

As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.

We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. Develop , schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability.

The Data & Analytics Manager will lead the entire lifecycle of data products, from ideation and development to implementation and optimization, understanding data best practices like governance, modeling, quality, and security. They will collaborate with stakeholders to understand data requirements, define strategic roadmaps, and lead the adoption of AI in data workflows, supporting cross-functional teams and prospecting business opportunities.

Seeking a Data Engineer to build and evolve Jusbrasil's data pipelines and architectures. You will be responsible for designing, developing, and maintaining data ingestion, processing, and storage systems, ensuring scalability, governance, and performance in a dynamic and collaborative environment. You will work alongside Data Engineers, Analytics Engineers, Data Analysts and Product teams, helping to transform raw data into consistent and high-value analytical assets for the company

Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.

You will play a crucial role in ensuring the integrity and quality of data across our applications and services, collaborating with solution architects and business analysts to translate solution requirements into actionable data requirements. Maintaining high-quality standards and driving improvements in data processes will be key.