Senior Data Scientist - Data Modelling (ID: 4051)

Stafide; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Stafide is seeking a Senior Data Scientist – Data Modelling to design and develop robust data models in collaboration with Data Architects and Solution Architects. The role focuses on translating business requirements into scalable data modelling solutions for enterprise environments.

You will work with Oracle SQL, Data Vault 2.0, and DBT in SAP-related projects, collaborating with stakeholders across business and technical teams to ensure alignment with architecture standards and data strategy.

Qualifications

• Experience in data modelling and data architecture.
• Strong ability to translate business requirements into data models.
• Proven stakeholder management and communication skills.
• Proficient in SQL, Oracle SQL, and data querying.
• Experience with Data Vault 2.0 and enterprise data platforms.

Responsibilities

• Design and develop high quality data models with Data Architects.
• Translate business requirements into scalable data modelling solutions.
• Collaborate with stakeholders to ensure alignment with architecture standards.
• Apply Data Vault 2.0 concepts for robust data models.
• Lead data modelling activities across SAP-related projects.

Skills

Data modelling

Data architecture

Stakeholder management

Communication skills

SQL / Oracle SQL

Tools

dbt

BigQuery

GitHub

Oracle SQL

Job description

As a Senior Data Scientist – Data Modelling, you will:

• Design and develop data models in consultation with Data Architects and Solution Architects.
  
• Develop and maintain Logical Data Models and translate logical models into appropriate physical data models.
  
• Gather, analyze, and document data requirements from business stakeholders.
  
• Work with stakeholders to understand business requirements and translate them into effective data modelling solutions.
  
• Make informed technical decisions and drive progress in situations where information or requirements may be incomplete.
  
• Apply Data Vault 2.0 principles to design robust and scalable data models.
  
• Develop and work with SQL and Oracle SQL for data modelling and data-related solutions.
  
• Contribute to data integration and data modelling activities within SAP-related projects.
  
• Work with business data entities such as customer and stock within retail-related environments.
  
• Collaborate with Data Architects, Solution Architects, business stakeholders, and technical teams to ensure alignment between business requirements and data architecture.
  
• Follow data modelling standards, best practices, and established architecture principles.
  
• Contribute to continuous improvement of data modelling approaches, processes, and solutions.
  

What You Bring to the Table:

• 8–10 years of overall professional experience in data science, data modelling, data architecture, or closely related data disciplines.
  
• Extensive hands‑on experience with data modelling.
  
• Strong experience developing and working with Logical Data Models.
  
• Proven ability to translate between logical and physical data models.
  
• Strong knowledge of Data Vault 2.0.
  
• Strong experience with SQL, particularly Oracle SQL.
  
• Strong understanding of data concepts, data structures, and data modelling principles.
  
• Experience gathering and translating business requirements into data models and technical solutions.
  
• Strong communication and stakeholder management skills.
  
• Experience working closely with Data Architects and Solution Architects.
  
• Experience making technical decisions and progressing work in situations involving incomplete or evolving information.
  
• Experience with data integration and data modelling in SAP-related projects is advantageous.
  
• Knowledge of retail data entities, particularly customer and stock data, is beneficial.
  
• Experience with dbt, BigQuery, and GitHub is advantageous.
  

You should possess the ability to:

• Design high-quality logical and physical data models based on business and technical requirements.
  
• Translate complex business requirements into clear and scalable data models.
  
• Explain and communicate data modelling concepts effectively to both technical and non-technical stakeholders.
  
• Gather requirements from business stakeholders and identify the underlying data needs.
  
• Work effectively with incomplete information and make sound technical decisions.
  
• Apply Data Vault 2.0 concepts and principles in data modelling.
  
• Write and understand complex SQL and Oracle SQL queries and data structures.
  
• Collaborate effectively with Data Architects, Solution Architects, developers, and business teams.
  
• Analyze existing data structures and identify opportunities for improvement.
  
• Ensure data models align with business requirements, architecture standards, and technical constraints.
  
• Work independently while taking ownership of data modelling deliverables.
  
• Communicate clearly and effectively in a stakeholder-facing environment.
  
• Adapt to changing requirements and work effectively in a dynamic project environment.
  

What we bring to the table:

• The opportunity to work on complex enterprise data modelling and data architecture initiatives.
  
• Exposure to Logical and Physical Data Modelling and Data Vault 2.0 methodologies.
  
• Opportunities to work with Oracle SQL and modern data technologies.
  
• Collaboration with Data Architects, Solution Architects, business stakeholders, and technical teams.
  
• Exposure to data integration and modelling activities within SAP-related projects.
  
• Opportunities to work with modern data technologies such as dbt and BigQuery.
  
• A collaborative environment focused on solving complex data challenges and delivering scalable data solutions.
  
• Opportunities to contribute to data architecture, modelling standards, and continuous improvement.