🕒 yesterday
As a Lead Data Engineer, you will design and implement AI-optimized data platforms, becoming a trusted advisor to clients while solving complex data engineering challenges.
Data Engineer Lead, Brasil
📅 Sep 9
Microsoft FabricOnelakeAzure Data FactoryAzure Data Platforms
📜 Description
- Own the data chain from ingestion through Bronze, Silver, and Gold layers to the Power BI semantic layer.
- Build, optimize, and maintain scalable ETL/ELT pipelines and certified Gold datasets for BI and analytics.
- Develop and govern high-performance Power BI semantic models and dashboards.
- Implement data lakes, warehouses, and integration layers aligned with global data strategy.
- Establish automated data quality checks, validation rules, and monitoring; optimize query performance, pipeline execution, and cloud costs.
- Coordinate ERP/CRM and third-party integrations with the Core Team Data Architect, direct peer engineers, uphold pipeline SLAs, and maintain technical documentation.
🛠️ Requirements
- Hands-on experience with Microsoft Fabric and OneLake (or equivalent Azure data platform experience).
- Proven track record designing Bronze/Silver/Gold medallion architectures end-to-end.
- Expertise in Azure Data Factory pipeline design and data contract definition.
- Deep experience in Power BI semantic modeling and advanced DAX authoring.
- Practical experience integrating ERP and CRM source systems into a unified data platform.
- Strong technical leadership skills (ability to direct engineering work and hold pipeline SLAs).
- Professional English proficiency (B2+ level or higher).
- Experience with Infor SyteLine or Infor ION integrations.
- Experience handling regulated or medical-device data within an ISO 13485 context.
- Familiarity with Infrastructure-as-Code (Bicep or Terraform) and CI/CD for data pipelines.
✨ Benefits
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
- Profit Sharing and Results Participation (PLR);
- Life insurance
- Continuous learning platform (CI&T University);
Full job description
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
What You Will Do (Core Responsibilities)
-
End-to-End Ownership: Lead the complete data chain for the Foundation Pod, covering ingestion, Bronze, Silver, Gold layers, and the Power BI semantic layer.
-
Pipeline Development: Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
-
Semantic Modeling & BI: Develop and govern high-performance Power BI semantic models and dashboards.
-
Data Architecture: Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.
-
Data Quality & Governance: Establish automated quality checks, validation rules, and monitoring systems to ensure maximum accuracy and reliability.
-
System Integration: Develop integrations between ERP/CRM sources, third-party tools, and analytics platforms, coordinating with the Core Team's Data Architect on platform standards.
-
Performance & Cost Optimization: Fine-tune query performance, monitor pipeline execution times, and manage cloud storage/compute costs.
-
Technical Leadership: Direct the work of peer engineers, uphold strict pipeline SLAs, and maintain comprehensive technical documentation.
What We Are Looking For (Required Skills)
-
Hands-on experience with Microsoft Fabric and OneLake (or equivalent Azure data platform experience).
-
Proven track record designing Bronze/Silver/Gold medallion architectures end-to-end.
-
Expertise in Azure Data Factory pipeline design and data contract definition.
-
Deep experience in Power BI semantic modeling and advanced DAX authoring.
-
Practical experience integrating ERP and CRM source systems into a unified data platform.
-
Strong technical leadership skills (ability to direct engineering work and hold pipeline SLAs).
-
Professional English proficiency (B2+ level or higher).
Nice to Have
-
Experience with Infor SyteLine or Infor ION integrations.
-
Experience handling regulated or medical-device data within an ISO 13485 context.
-
Familiarity with Infrastructure-as-Code (Bicep or Terraform) and CI/CD for data pipelines.
-
Hands-on experience with source systems like OneStream, Workday, or Fusion PLM.
Similar jobs
Search more Data Engineer jobs
🕒 3 days ago
Own and advance data platform initiatives spanning lake architecture, batch and streaming pipelines, event governance, data quality, privacy, and AI-assisted engineering standards.
🕒 7 days ago
Defines enterprise data-platform architecture and engineering standards, leads complex system design and technical decisions, and builds reliable data products while mentoring engineers across teams.
[OWD] Lead Data & AI Engineer (Palantir Foundry/AIP) - Canada
🕒 7 days ago
Software Mind👥 501 - 1000 employees🏢 Information Technology And Services
🕒 7 days ago
Lead hands-on delivery of Palantir Foundry data and AI solutions, building pipelines, ontology layers, and LLM-powered workflows while guiding engineers and advising client stakeholders.
🕒 8 days ago
Lead data engineering work to prepare Snowflake datasets for a Dataiku proof of concept, building reliable pipelines and data models while ensuring data quality for downstream analytical workflows.