Data Engineering and AI Specialist

Daiichi Sankyo Brasil Ltda

. Develop and maintain data integration pipelines (ETL/ELT) .

Posted 10/9/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data integration pipelines, implementing data governance practices, and leveraging AI and machine learning to optimize processes. Proficient in utilizing business intelligence tools and data platforms to support decision-making and foster a data-driven culture.

Highest-signal resume keywords

Data Integration Pipelines (ETL/ELT)Business Intelligence Tools (Power BI, SAP Analytics Cloud, Tableau)Advanced SQL ProgrammingArtificial Intelligence (Generative AI, Machine Learning)Data Governance Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Integration Pipelines (ETL/ELT)Advanced SQLPythonDAXPower Query (M)DataOpsDevOpsCI/CDScrumKanban

Soft Skills

Analytical ThinkingCollaborationCommunication

Tools & Technologies

Microsoft FabricAzure Data PlatformSAP DatasphereBDCSQL ServerSAP HANADatabricksAWS

Industry Keywords

Data GovernanceData QualityData SecurityData PrivacyDigital Transformation

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Develop and maintain data integration pipelines (ETL/ELT)
Build and enhance analytical and enterprise data models
Implement integrations between enterprise systems and data platforms
Ensure the quality, performance, and scalability of data environments
Develop dashboards, metrics, and analyses to support decision-making
Support business areas in identifying opportunities through data
Promote best practices in analytical modeling and information visualization
Contribute to fostering a data-driven culture across the organization
Help define and implement Data Governance practices
Ensure the quality, traceability, and consistency of enterprise data
Support initiatives related to data security, privacy, and compliance
Define standards for cataloging, documenting, and using information assets
Identify opportunities to apply AI and intelligent automation
Develop or support Machine Learning and Generative AI initiatives
Participate in implementing intelligent agents and Copilot-based solutions
Assess risks and alignment with AI Governance practices
Identify opportunities to optimize processes through data and AI
Support digital transformation and innovation initiatives
Contribute to the evolution of the enterprise data architecture and strategy
Share technical knowledge with IT teams and business areas
Monitor KPIs related to data and AI quality, reliability, availability, stability, processing, adoption, efficiency, inconsistencies, and maturity

Requirements

What you’ll need

Bachelor’s degree in Information Technology or a related field
Intermediate to advanced English proficiency
Knowledge of data platforms: Microsoft Fabric, Azure Data Platform, SAP Datasphere, BDC, SQL Server, SAP HANA, Databricks, and AWS
Knowledge of Business Intelligence tools: Power BI, SAP Analytics Cloud (SAC), and Tableau
Knowledge of programming and data languages: advanced SQL, Python, DAX, and Power Query (M)
Knowledge of Artificial Intelligence: Microsoft Copilot Studio, Generative AI, Machine Learning, and AI Governance
Knowledge of methodologies and practices: DataOps, DevOps, CI/CD, Scrum, and Kanban

Benefits

Comp & perks

Inclusive company that embraces diversity
Position also open to people with disabilities
Culture of collaboration and trust
Opportunities for development and shared growth