Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
About the role
- Transforming business strategies into high-performance solutions using Databricks. Leading data engineering, advanced analytics, and generative AI initiatives in a scalable architecture.
Responsibilities
- Lakehouse Architecture: Design and evolve the enterprise platform on Databricks (Delta Lake), establishing ingestion patterns (batch/streaming), storage, and consumption standards.
- Governance & Security: Implement governance frameworks using Unity Catalog, ensuring data quality, lineage, security (RBAC/ABAC), and compliance with the LGPD (Brazilian Data Protection Law).
- AI & ML Support: Design infrastructure for the Machine Learning lifecycle (MLOps) and GenAI initiatives, supporting everything from feature engineering to LLM deployment.
- Data Engineering: Define technical standards for complex pipelines, integrating critical systems such as SAP (S/4HANA) and legacy databases.
- Technical Leadership: Act as an advisor for executive decisions and guide engineering teams in applying best practices for versioning and resilience.
Requirements
- Proven track record as a Data Architect in complex environments.
- Strong command of the Databricks ecosystem (Unity Catalog, Delta Lake, Jobs, Workflows).
- Advanced experience with Azure Cloud.
- Expertise in data modeling and high-performance SQL.
- Clear understanding of scalable pipelines and governance/security patterns.
- Ability to translate complex business needs into clear technical diagrams.
- Comfortable collaborating across Security, Infrastructure, and Business teams.
- Pragmatic innovation mindset: focused on continuous improvement with an emphasis on delivering organizational value.
- Preferred qualifications:
- Knowledge of MLOps (MLflow, monitoring, and retraining).
- Experience with Data Mesh and domain-oriented architectures.
- Experience in the Energy or Oil & Gas sectors.
- Familiarity with SAP technologies (S/4HANA, Datasphere).
Benefits
- Health and dental insurance
- Meal and grocery allowance
- Childcare allowance
- Extended parental leave
- Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) / TotalPass
- Profit Sharing (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to promoting physical and mental health and wellbeing
- Prenatal and responsible parenting course
- Partnerships with online course platforms
- Language learning platform
- And many more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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