data modeler

The Data Modeller/Developer will be responsible for designing, developing, and maintaining enterprise-level data models and solutions that support business intelligence, analytics, and operational systems. This role requires a deep understanding of both traditional and modern data modelling approaches, including application-centric data models, where data structures are tightly coupled to individual applications and business processes.

Key Accountabilities & Responsibilities

•    Data Modelling: Design and maintain conceptual, logical, and physical data models, with a focus on application-centric environments where each system may have its own distinct data schema.
•    Development: Build and optimize data pipelines, ETL processes, and database solutions tailored to application-specific requirements.
•    Integration Awareness: Collaborate with application developers and integration teams to ensure data models support interoperability across systems.
•    Governance & Standards: Define and enforce modelling standards that balance application-specific needs with enterprise-wide consistency.
•    Documentation: Maintain detailed documentation of data models, including lineage and dependencies across applications.
•    Performance Tuning: Optimize application-bound databases for performance and scalability.
•    Modernization Support: Contribute to initiatives that transition from application-centric to more data-centric or federated architectures.

Qualifications

Qualifications: 

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.

• Practical experience using GenAI (Claude/CoPilot/Gemini) with a good understanding of subagents, MCP and controls; used to support the design, development, testing.

• 5+ years of experience in data modelling and development

• Strong proficiency in SQL and modelling tools (e.g., ER/Studio, dbt, PowerDesigner)

• Experience with relational and NoSQL databases

• Familiarity with application-centric architectures and their impact on data design

• Exposure to cloud platforms and modern data stack technologies.

Desirable:

• Strong analytical and problem-solving skills.

• Strong communication skills, written and verbal.

• Strong presentation skills.

• Ability to multi-task and work under pressure.

• Change Management experience is a plus.

• Systems and business architecture knowledge is a plus.

• Ability to take minimal direction and work independently with high precision/quality of output.

• Degree qualified in business management or a related discipline and qualification in technology.

• Experience working with teams across multiple countries.

Our team makes the difference, every time. For this reason, we offer in return!

We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors.