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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer & Analytics based in Brazil.
This role is an opportunity for a data professional who wants to shape modern, scalable data ecosystems that directly support strategic decision-making. You will play a key part in designing and evolving data architectures that enable reliable analytics across the organization. Working in a highly collaborative environment, you’ll build robust data pipelines, integrations, and analytical layers that power dashboards and business insights. The role is deeply hands-on, with strong exposure to cloud-based Microsoft data technologies and modern engineering practices. You will contribute to the migration from legacy systems toward a more scalable and future-ready data architecture. Your work will have a direct impact on data quality, governance, and business performance. This is a dynamic environment where innovation, ownership, and continuous improvement are strongly encouraged.
Accountabilities
- Design, develop, and evolve scalable transactional and analytical data structures supporting business needs.
- Build and maintain data pipelines, integrations, and transformation processes across multiple systems and sources.
- Support the migration of legacy SharePoint-based solutions to a modern, scalable data architecture.
- Develop and optimize SQL queries, stored procedures, and database models for performance and reliability.
- Prepare analytical data layers for consumption in dashboards and reporting tools such as Power BI.
- Ensure data quality, integrity, governance, performance, and availability across all data assets.
- Collaborate with solution architects, analysts, and business stakeholders to deliver aligned data solutions.
- Promote best practices in version control, automation, CI/CD, and DataOps for data assets.
Requirements
- Proven experience as a Data Engineer, Analytics Engineer, Data Developer, or similar role.
- Strong expertise in SQL, data modeling, and relational database design.
- Hands-on experience building and maintaining data pipelines and system integrations.
- Experience with Microsoft cloud data ecosystem, including Microsoft Azure services.
- Familiarity with analytical data modeling and building datasets for reporting and BI tools.
- Experience working with Power BI for analytics and dashboard preparation.
- Strong analytical thinking, problem-solving skills, and attention to data quality.
- Excellent communication skills and ability to work with cross-functional teams.
- Adaptability to fast-paced and evolving environments.
- Nice to have: experience with Azure Data Factory, Azure Synapse Analytics, Databricks, or Microsoft Fabric; exposure to CI/CD and DataOps practices; English proficiency; and familiarity with Supply Chain projects.
- Note: candidates based in the Campinas Metropolitan Region may be required to attend the office according to local policy.
Benefits
- Health and dental insurance coverage
- Meal and food allowances
- Childcare assistance
- Extended parental leave
- Gym and wellness partnerships via platforms such as Wellhub (Gympass) and TotalPass
- Profit sharing program (PLR)
- Life insurance
- Continuous learning platform and training resources
- Discount club and exclusive partnerships
- Mental, physical, and wellbeing support platforms
- Language learning and professional development courses
- Additional benefits and perks designed to support employee growth and wellbeing.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.