• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers • Design, build and evolve scalable data platforms and architectures aligned with business goals • Guide and support project teams with your expertise, setting best practices and ensuring high-quality delivery • Collaborate closely with internal and external stakeholders to translate business needs into robust data solutions • Optimize and monitor data workflows to ensure performance, scalability and reliability • Stay ahead with the latest trends in data technologies and bring innovative ideas into projects

• Design, build, and maintain scalable data pipelines (ETL/ELT) to support analytics and AI use cases • Develop and optimise data architectures, data lakes, and data warehouses • Work closely with stakeholders to translate business needs into data solutions and insights • Build and maintain data processing scripts and automation tools (Python, SQL) • Support and enhance AI/analytics platforms and data products • Implement monitoring, testing, and performance tuning of pipelines • Collaborate with cross-functional teams (data scientists, engineers, product teams)

• This is a remote position. • The Data Engineer works end-to-end, creating dashboards and is responsible for integrating data, applying business rules, and developing effective visualizations. • Must be proficient in Qlik Script, DAX, and functions in both Qlik Sense and Power BI, data modeling, SQL queries, and building interactive dashboards. • Collaborate with business teams to understand project requirements and objectives. • Design and develop data pipelines to collect, integrate, and transform data from multiple sources. • Create dimensional and relational data models to support complex analyses. • Develop and maintain reports and dashboards using BI tools such as Qlik Sense. • Perform integration testing and data validation to ensure the accuracy and consistency of information. • Optimize queries and ETL processes to improve system performance and efficiency. • Provide technical support to end users to ensure effective adoption of BI solutions. • Monitor data integrity and security, implementing data governance best practices.

• Desenvolver e manter pipelines de dados utilizando GCP (Google Cloud Platform) • Atuar com BigQuery para modelagem, consulta e otimização de dados • Trabalhar com ferramentas como Dataflow e Looker para processamento e visualização de dados • Implementar e garantir práticas de governança de dados, incluindo qualidade, catálogo e linhagem • Definir e aplicar políticas de privacidade e segurança de dados (LGPD e boas práticas) • Monitorar e garantir a integridade, confidencialidade e disponibilidade dos dados • Colaborar com times de negócio e tecnologia para entendimento de requisitos e entrega de soluções • Apoiar iniciativas de data governance e compliance • Documentar processos, fluxos e políticas de dados