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Senior Data Engineer, Data Modeller – Finance & Risk Data Platform
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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise data warehouse design and data modeling, with a strong focus on regulatory compliance and data governance. Proficient in building scalable data platforms and optimizing ELT processes using GCP technologies.
Highest-signal resume keywords
Enterprise Data Warehouse DesignData ModelingSQL ProficiencyGCP TechnologiesData Governance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Transform SEB’s Finance & Risk Data Platform into a modern, scalable, audit-ready enterprise data warehouse
- Establish data architecture enabling reliable enterprise-scale integration in a regulated banking environment
- Design and implement robust data models supporting business reporting, regulatory requirements, historical data management, and data governance
- Collaborate with data engineers, architects, business stakeholders, and Finance & Risk specialists
- Take end-to-end responsibility for data modelling from source analysis through target model implementation
- Use SQL and analytical techniques to understand source structures, relationships, keys, grain, and data quality
- Design target models using scalable patterns based on Data Vault 2.0 principles
- Define standards for historical data management, auditability, lineage, metadata management, and data quality
- Build and optimise ELT processes using GCP technologies including BigQuery, Cloud Composer, dbt, and Dataform
- Drive best practices in data modelling, warehouse design, and engineering excellence
- Share responsibility for day-to-day data engineering while leading data modelling, governance, and engineering standards
Requirements
What you’ll need- Experienced Data Engineer with deep expertise in enterprise data warehouse design and data modelling
- Proven hands-on experience delivering data models end to end, from requirements gathering and source analysis through conceptual and logical modelling to physical design and production implementation
- Track record of building scalable data platforms integrating large numbers of heterogeneous source systems
- Hands-on experience building and maintaining ELT pipelines and data integration solutions
- Ability to balance business requirements, regulatory expectations, and long-term maintainability
- Strong communication and collaboration skills, including translating complex requirements into practical data solutions
- Strong SQL and Python skills
- Experience using AI-powered tools to improve engineering, operations, or automation workflows
- Beneficial: experience in banking, finance, or another regulated industry
- Beneficial: hands-on experience with Data Vault 2.0 modelling principles and implementation
- Familiarity with GCP services and tools including BigQuery, Cloud Composer, Apache Airflow, Dataform, and dbt, or comparable cloud data platforms
- Knowledge of data governance, regulatory reporting, or frameworks such as BCBS 239
- Final candidates must undergo background checks
- Applications must be submitted through the advertisement link; email applications will not be considered
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
- The opportunity to work for an innovative company at the forefront of technology
- Hybrid working model with the possibility of working remotely up to two days per week
- Collective agreement coverage
- Background-check process for final candidates, including identity, qualification, credit, company engagement, and criminal record checks; random drug testing may also apply
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 ModelingSQLPythonELT Pipeline DevelopmentData Vault 2.0 PrinciplesData Integration SolutionsData Quality ManagementSource AnalysisConceptual and Logical ModelingProduction Implementation
Soft Skills
Strong CommunicationCollaboration SkillsTranslating Requirements
Tools & Technologies
BigQueryCloud ComposerDataformApache AirflowDbt
Industry Keywords
BankingFinanceRegulated IndustryBCBS 239Data Governance