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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in data modeling and enterprise data warehouse design, with a focus on Data Vault 2.0 methodologies and scalable data platform integration. Proficient in SQL and Python, with experience in building ELT pipelines and ensuring data governance and regulatory compliance.
Highest-signal resume keywords
Data Vault 2.0 ExpertiseEnterprise Data Warehouse DesignSQL ProficiencyGoogle Cloud Platform (GCP) FamiliarityData Governance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingEnterprise Data Warehouse DesignSQLPythonELT Pipeline DevelopmentData Vault ComponentsData Quality StandardsMetadata ManagementAuditabilityLineage
Soft Skills
MentoringCollaborationLeadership
Tools & Technologies
Google Cloud Platform (GCP)BigQueryCloud Composer/AirflowDataform/DBT
Industry Keywords
BankingFinanceRegulated IndustryBCBS 239
Tech Stack
Tools & technologiesAirflowBigQueryCloudGoogle Cloud PlatformPythonSQLVault
About the role
Key responsibilities & impact- Transform SEB’s Finance & Risk Data Platform into a modern, scalable, audit-ready enterprise data warehouse
- Design and evolve the target enterprise data warehouse architecture for Finance and Risk data domains
- Model complex business data using scalable, maintainable patterns focused on Data Vault 2.0
- Design Hubs, Links, Satellites, Business Vault components, and downstream information marts
- Define standards for historization, auditability, lineage, metadata management, and data quality
- Build and optimize ELT processes using Google Cloud Platform technologies
- Integrate and harmonise data from more than 200 heterogeneous source systems with full source traceability
- Drive best practices in data modelling, warehouse design, and engineering excellence
- Mentor engineers and help build long-term data architecture
- Share responsibility for day-to-day data engineering while leading data modelling, architecture, governance, and engineering standards
- Collaborate with data engineers, architects, business stakeholders, and Finance and Risk specialists
Requirements
What you’ll need- Deep expertise in data modelling and enterprise data warehouse design
- Proven experience with Data Vault 2.0, including Hubs, Links, Satellites, historization, auditability, and lineage
- Track record of building scalable data platforms integrating large numbers of heterogeneous source systems
- Ability to balance business requirements, regulatory expectations, and long-term maintainability
- Proficiency in reading and writing SQL and Python
- Experience in banking, finance, or another regulated industry is beneficial
- Familiarity with GCP services including BigQuery, Cloud Composer/Airflow, and Dataform/DBT, or comparable cloud data platforms is beneficial
- Experience building ELT pipelines and data integration solutions is beneficial
- Knowledge of data governance, regulatory reporting, or BCBS 239 is beneficial
- Final candidates must undergo background checks
Benefits
Comp & perks- Agile and modern ways of working
- A flat hierarchy and an open environment where ideas, opinions, and different points of view are welcomed
- Extensive training and learning opportunities
- Opportunity to work at an innovative company at the forefront of technology
- Hybrid working model, with possibility of working remotely up to two days per week
- Collective agreement coverage