Description
Job Summary:
Bluetab is seeking a Data Modeler with banking industry experience to design robust data models for data architecture and integration projects.
Key Highlights:
1. Professional growth and personalized career development.
2. High-impact projects and learning opportunities with technology experts.
3. A collaborative, non-hierarchical work environment.
**Join Bluetab**
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At Bluetab, we don’t hire “resources.” We hire talent committed to serious growth.
We are tech-focused, demanding, and yes—we move fast. But here, no one works alone. We collaborate as a team, without unnecessary hierarchies, and with genuine focus on development.
If you seek challenges that push you beyond your comfort zone (because that’s where no one grows), you’re in the right place. Here, you’ll learn from experts, work on high-impact projects, and stay consistently ahead in technology.
**Job Objective**
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At Bluetab, we are looking for a **Data Modeler** with solid experience in the banking sector to participate in strategic data architecture and integration projects. You will be responsible for designing robust data models supporting data ingestion, transformation, and consumption processes, ensuring compliance with quality standards and enterprise architecture principles.
**Responsibilities**
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* Design and develop conceptual, logical, and physical data models for analytical and operational solutions.
* Define relational and dimensional models supporting data integration and ingestion projects.
* Participate in data architecture initiatives to ensure model consistency, scalability, and reusability.
* Collaborate with Data Engineers, Architects, Product Owners, and business teams to translate functional requirements into efficient data models.
* Document data models, data dictionaries, standards, and modeling guidelines.
* Ensure data integrity, quality, and traceability throughout the project lifecycle.
* Contribute to defining solutions on AWS Cloud platforms following data architecture best practices.
* Identify improvement opportunities in existing models and propose solutions aligned with the organization’s technology strategy.
**Requirements**
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### **Education**
* Bachelor’s or Technical degree in Systems Engineering, Computer Science, Information Technology, or related fields.
### **Experience**
* Minimum 3 years of experience as a Data Modeler or Data Modeling Specialist.
* Experience in data modeling for ingestion and integration processes.
* Banking sector experience (mandatory).
### **Technical Knowledge (Mandatory)**
* Relational and dimensional data modeling.
* Advanced SQL.
* Proficiency with data modeling tools such as Erwin.
* Experience working with AWS Cloud services.
* Knowledge and hands-on experience applying the BIAN framework in banking sector projects.
* Understanding of data architecture and modeling best practices.
**Competencies**
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* Proactivity.
* Analytical thinking.
* Flexibility and adaptability.
* Dynamism.
* Effective communication and collaborative teamwork.
* Results orientation.
* Availability to address critical requirements outside regular working hours when required by the project.
**Profile That Fits**
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* You are passionate about technology and keep up-to-date (because falling behind is not an option).
* You work by objectives and are unafraid of demanding environments.
* You communicate clearly and build trust with clients and teammates.
* You analyze, solve problems, and negotiate with sound judgment.
* You are autonomous, collaborative, and adapt well to horizontal structures.
**What You Get**
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* Indefinite-term contract \+ competitive salary commensurate with your level and performance.
* Continuous training (real, not superficial).
* Personalized career plan: technical, functional, or managerial—you choose your path.
* Solid benefits: savings fund, medical insurance, vouchers, vacation days exceeding legal minimums, and more.
**If You Want Serious Evolution**
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Bluetab, an IBM Company, is for those who seek impact, growth, and team.
If technology drives you and you want to play at a higher level, apply now.
Let’s talk.