This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Consultor de Dados – Engenharia & Ciência de Dados based in Brazil.
This role is ideal for a data professional who combines strong engineering capabilities with an analytical and business-oriented mindset.
You will help design, structure, and evolve modern data environments within Microsoft Azure.
The position involves building scalable pipelines and architectures across Data Lake, Synapse, and Databricks.
You will contribute to ensuring data is organized, reliable, accessible, and ready to support meaningful business decisions.
Working across data engineering and data science, you will translate business needs into practical, data-driven technical solutions.
The role offers the opportunity to work on challenging technology initiatives while collaborating with experienced professionals and client teams.
It is well suited to someone who values innovation, continuous learning, quality delivery, and tangible business impact.
Accountabilities
- Design, model, structure, and evolve data environments within Microsoft Azure.
- Build and maintain scalable data pipelines supporting ingestion, transformation, organization, and availability of data.
- Develop and optimize data architectures using Azure Data Lake, Synapse, Databricks, and related services.
- Structure data environments using appropriate layers and architectures to improve organization, quality, and accessibility.
- Apply conceptual, logical, and physical data modeling practices to support robust data solutions.
- Analyze business requirements and translate operational needs into effective, data-driven technical solutions.
- Ensure data environments support analytical use cases and generate actionable value for business operations.
- Contribute to the continuous improvement, reliability, scalability, and performance of data platforms.
- Work across engineering and data science disciplines to connect technical implementation with analytical objectives.
Requirements
- Experience working across both Data Engineering and Data Science, with the ability to operate in a hybrid technical role.
- Practical experience with Microsoft Azure data services, particularly Azure Data Lake, Synapse, Databricks, or comparable technologies.
- Experience with conceptual, logical, and physical data modeling.
- Proven experience designing and developing data pipelines.
- Experience structuring data environments covering data ingestion, transformation, organization, and layered architectures.
- Strong analytical capabilities and the ability to understand business requirements and translate them into technical data solutions.
- Business-oriented mindset with a focus on using data and technology to generate operational value.
- Strong problem-solving skills and attention to data quality, organization, and availability.
- Ability to collaborate effectively with technical teams and business stakeholders.
- Adaptability, autonomy, and willingness to continuously develop technical expertise.
Benefits
- Fully remote work model.
- Indefinite engagement under a PJ service-provider contract.
- Learning and development incentive programs, including Udemy access.
- Corporate English classes available at accessible rates.
- Opportunity to work on data engineering and data science initiatives involving modern Azure technologies.
- Collaborative environment focused on innovation, efficiency, partnership, and results.
- Opportunities to develop expertise in Data Lake, Synapse, Databricks, data modeling, and modern data architectures.
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!
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.
#LI-CL1
