Data Modeler

Quick Facts

• Role: Data Modeler
• Focus: Audit-ready enterprise data warehouse for Finance & Risk
• Location: Stockholm (3 days onsite, 2 days remote)

Description

You will transform a Finance & Risk Data Platform into a modern, scalable, audit-ready enterprise data warehouse in a regulated banking environment. This is a hands-on data modeler role focused on enterprise data modelling, including designing robust data models for reporting, regulatory needs, historical data management, and data governance.

Responsibilities

• Implement and maintain physical data models in the target data platform
• Analyze source data using SQL to understand structure, relationships, keys, grain, and data quality
• Design target data models using scalable, maintainable patterns based on Data Vault 2.0
• Define standards for historical data management, auditability, lineage, metadata management, and data quality
• Build and optimize ELT processes on Google Cloud Platform (BigQuery, Cloud Composer, dbt, Dataform)
• Drive data modelling and warehouse design best practices across the team

Requirements

• Deep expertise in data modelling and enterprise data warehouse design
• Hands-on experience delivering data models from requirements through physical implementation
• Experience with scalable platforms integrating many heterogeneous source systems
• Ability to balance business, regulatory, and long-term maintainability requirements
• Strong communication and collaboration skills
• Strong SQL and Python skills

Benefits

Hands-on role leading data modelling and data governance for an audit-ready banking data warehouse.