Data Designer

November 9, 2026 Full Time, Hybrid Sweden Posted 13 hours ago We are hiring Data Designer for Sweden. Job Summary: We are looking for an experienced Data Designer to join a Finance & Risk Data Platform (FR360) team. The role focuses on transforming the Finance & Risk Data Platform into a modern, scalable and audit-ready enterprise data warehouse. The candidate will be responsible for designing and implementing enterprise data models that support business reporting, regulatory requirements, historical data management and data governance within a regulated banking environment. You will work closely with data engineers, data architects, business stakeholders and Finance & Risk specialists to ensure data accuracy, traceability, quality and scalability. Educational Qualification: Bachelor’s degree in Computer Science, or related field, or equivalent professional experience. Key Responsibilities:

• Design, implement and maintain scalable enterprise data models using Data Vault 2.0 principles, covering conceptual, logical and physical modelling.
• Analyse source data using SQL and Python, and establish standards for data quality, historisation, auditability, lineage and metadata management.
• Develop and optimise ELT pipelines using GCP technologies such as BigQuery, Cloud Composer, dbt and Dataform, while driving data modelling best practices and collaborating with engineering teams and business stakeholders.

Technical Skills & Expertise:

• 10+ years of experience in data engineering.
• Deep expertise in enterprise data modelling and data warehouse design.
• Hands-on experience in conceptual, logical and physical data modelling, from requirements gathering and source analysis through production implementation.
• Strong experience designing scalable data platforms integrating multiple heterogeneous source systems.
• Strong SQL and Python programming skills.
• Experience with data structures, relationships, keys, data grain and data quality analysis.
• Ability to balance business requirements, regulatory expectations and long-term data platform maintainability.
• Experience in banking, finance or other regulated industries.
• Hands-on experience with Data Vault 2.0 modelling principles and implementation.
• Experience building and maintaining ELT pipelines and data integration solutions.
• Knowledge of Google Cloud Platform services, particularly BigQuery, Cloud Composer, Apache Airflow, Dataform and dbt.
• Experience with comparable cloud-based data platforms.
• Knowledge of data governance, regulatory reporting and frameworks such as BCBS 239.
• Understanding of data lineage, historisation, metadata management and auditability.

Soft Skills:

• Strong analytical, problem-solving and decision-making skills, with the ability to translate complex business and technical requirements into practical data solutions.
• Excellent communication, collaboration and ownership skills, with the ability to work effectively with engineers, architects and stakeholders while driving data modelling standards and improvements.

Job Features Job Category Design