Data Modeler

We are seeking a skilled and detail-oriented Data Modeller to join our dynamic Data Engineering & Cloud team. The ideal candidate will have a strong background in data modeling, database design, and data architecture. As a Data Modeller, you will be responsible for designing and implementing robust data models that ensure data integrity, scalability, and performance across various systems and applications.

Responsibilities

• Data Modeling : Design and develop conceptual, logical, and physical data models to meet the needs of business processes and technical requirements.
• Database Design : Work closely with database administrators, data engineers, and software developers to implement data models into physical databases.
• Data Integration : Collaborate with data engineers and ETL developers to ensure seamless data integration from various sources into the data warehouse.
• Data Architecture : Develop and maintain data architecture standards, ensuring consistency, scalability, and reusability across data models.
• Metadata Management : Document data models and maintain metadata repositories to ensure data governance and easy data discovery.
• Data Quality : Work with data governance teams to implement data quality rules and ensure high data accuracy and consistency.
• Performance Tuning : Optimize database performance by refining data models, indexing strategies, and query performance.
• Stakeholder Collaboration : Engage with business stakeholders, analysts, and other technical teams to understand data requirements and provide solutions that meet business needs.
• Technology Evaluation : Stay up to date with the latest trends and tools in data modeling, database management, and data architecture to recommend best practices and innovative solutions.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 15+ years of experience in data modeling, database design, and data architecture.
• Proven experience with Data Vault and Kimball modeling.
• Data Vault certification.
• Experience with relational and non-relational databases (SQL, NoSQL).
• Hands-on experience with data warehousing solutions, data lakes, and big data technologies.
• Familiarity with data governance, data quality, and metadata management practices.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Detail-oriented, organized, adaptable, and a strong communicator with both independent and team-working skills.

The following are a plus :

• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Experience in a consulting environment.

What we offer

• A fast career track to express your full potential, and grow quickly on a partner position.
• An education budget so you can continue to upgrade your skills.
• A yearly sports budget because a fit body leads to a fit mind.
• A position that enables you to have an impact on 1,000s of people.
• A welcoming, international, and diverse team with a fun and dynamic spirit.
• Opportunity to join a talented and experienced startup with proven traction in its journey.