[Job - 31429] Data Engineer Lead, Brasil
At a glance
Senior Data Engineering role at CI&T. Remote, Brazil.
Pay not stated Data Engineering salary
remoteroles summary, based on the employer's posting.
What you'll do
- Lead the Foundation Pod’s data flow from ingestion through Bronze, Silver and Gold, including the Power BI semantic layer
- Build and maintain scalable ETL/ELT pipelines and certified Gold datasets for BI and analytics
- Create Power BI semantic models and dashboards, and set quality checks and monitoring for reliable data
- Connect ERP and CRM systems with analytics platforms, coordinating platform standards with the Core Team’s Data Architect
- Guide peer engineers, keep pipeline SLAs on track and document technical decisions
What you bring
- Hands-on Microsoft Fabric and OneLake experience, or equivalent Azure data platform expertise
- A track record building end-to-end Bronze, Silver and Gold data architectures, plus Azure Data Factory pipelines and data contracts
- Strong Power BI semantic modeling skills, including advanced DAX, and experience unifying ERP and CRM data
- Technical leadership experience directing engineering work and maintaining pipeline SLAs
- Professional English at B2 level or above
Who this fits
This role suits a senior data engineer who can lead delivery while staying hands-on with pipelines, architecture and Power BI. It is remote in Brazil and calls for professional English.
From the employer
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)
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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.
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Pipeline Development: Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
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Semantic Modeling & BI: Develop and govern high-performance Power BI semantic models and dashboards.
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Data Architecture: Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.
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Data Quality & Governance: Establish automated quality checks, validation rules, and monitoring systems to ensure maximum accuracy and reliability.
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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.
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Performance & Cost Optimization: Fine-tune query performance, monitor pipeline execution times, and manage cloud storage/compute costs.
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Technical Leadership: Direct the work of peer engineers, uphold strict pipeline SLAs, and maintain comprehensive technical documentation.
What We Are Looking For (Required Skills)
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Hands-on experience with Microsoft Fabric and OneLake (or equivalent Azure data platform experience).
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Proven track record designing Bronze/Silver/Gold medallion architectures end-to-end.
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Expertise in Azure Data Factory pipeline design and data contract definition.
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Deep experience in Power BI semantic modeling and advanced DAX authoring.
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Practical experience integrating ERP and CRM source systems into a unified data platform.
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Strong technical leadership skills (ability to direct engineering work and hold pipeline SLAs).
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Professional English proficiency (B2+ level or higher).
Nice to Have
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Experience with Infor SyteLine or Infor ION integrations.
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Experience handling regulated or medical-device data within an ISO 13485 context.
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Familiarity with Infrastructure-as-Code (Bicep or Terraform) and CI/CD for data pipelines.
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Hands-on experience with source systems like OneStream, Workday, or Fusion PLM.