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# Data Modelling - 12 months - Sao Paulo

- **Company:** Global Enterprise Partners
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Query Performance, Adaptable Database Systems, Agile Methodology, Data Analysis, Microsoft Azure, Big Data, Data Architecture, Data Integration, Extract Transform Load (ETL), Data Structures, Data Warehousing, Enterprise Information Management, Machine Learning, Meta-Data Management, NoSQL, Scrum Methodology, Standard Sql, Azure Data Lake, Reverse Engineering, SAP (Applications), Software Engineering, Data Streaming, Enterprise Data Management, Data Ingestion, Azure Data Factory, Data Strategy, Data Lakes, Data Management, Physical Data Models, Azure Synapse Analytics, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.globalenterprisepartners.com/en-gb/job/data-modelling---12-months---sao-paulo/4064222

## About the Role

* 5-7+ years' experience as a Data Modeler, Data Architect, or related data management role.
 * Strong experience with relational, dimensional, and NoSQL data modelling.
 * Experience designing logical and physical data models for enterprise-scale solutions.
 * Strong knowledge of data warehouses, data lakes, and enterprise big data environments.
 * Experience with metadata management and data modelling tools such as Erwin or ER Studio.
 * Experience with Azure technologies including Azure Data Factory, Azure Data Lake Storage, and Azure Synapse. Azure Databricks experience is highly desirable.
 * Understanding of ETL/ELT design principles and data ingestion processes.
 * Experience working within Agile and Scrum delivery environments.
 * Strong stakeholder management, communication, and presentation skills.
 * Ability to translate business requirements into scalable data models supporting long-term analytics strategies., * 7+ years of hands-on data modelling experience.
 * Experience mentoring and developing junior team members.
 * Strong understanding of ERP data models and architectures, ideally SAP or JDE.
 * Expert SQL knowledge and strong understanding of the full software development lifecycle.
 * Ability to define and drive enterprise-wide modelling standards and governance practices.

## Description

* Development and maintenance of conceptual, logical, and physical data models across enterprise data platforms.
 * Collaborating with Data Architects and solution teams to implement data strategies and data flows.
 * Establishing and governing data modelling standards, tools, and best practices.
 * Optimising data models and query performance to support analytics and reporting requirements.
 * Supporting enterprise information management, business intelligence, machine learning, and data science initiatives.
 * Performing reverse engineering, validation, and performance assessment of existing data structures.
 * Analysing data integration challenges and proposing scalable solutions.


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