Senior Data Engineer / Data Modeller – Finance & Risk Data Platform | SEB | Sweden | Hybrid

Full opportunity description

Are you a visionary Senior Data Engineer and Data Modeller with deep expertise in enterprise data warehouse design and data modelling, preferably with experience in Data Vault 2.0? Join us in transforming our existing GCP data platform into an advanced enterprise data warehouse that reliably integrates more than 200 diverse data sources and helps shape the future of finance.

SEB is more than a bank with an IT function. We are a progressive technology company powered by innovation and collaboration. From COBOL to AI and everything in between, we offer an impressive technology landscape and a wide range of career paths. Together, we innovate for a sustainable society and build the technology arena of the future welcoming space for everyone. Are you ready for a new challenge? If so, this could be an opportunity for you.

About the role

You will play a key role in transforming SEB’s Finance & Risk Data Platform into a modern, scalable, and audit-ready enterprise data warehouse. As part of the FR360 Data Platform team, you will help establish a data architecture that enables the reliable integration of more than 200 source systems while meeting the high standards of a regulated banking environment.

Your primary focus will be designing and implementing robust data models that support business reporting, regulatory requirements, historical tracking, and data governance. You will work closely with data engineers, architects, business stakeholders, and Finance and Risk specialists to ensure that data is accurate, traceable, and fit for purposes.

Key responsibilities include:

• Design and evolve the target enterprise data warehouse architecture for the Finance and Risk data domains.

• Model complex business data using scalable, maintainable patterns, with a strong focus on Data Vault 2.0 principles and methodologies.

• Design Hubs, Links, Satellites, Business Vault components, and downstream information marts for operational and analytical use cases.

• Define and promote standards for historization, auditability, lineage, metadata management, and data quality.

• Build and optimize ELT processes using Google Cloud Platform technologies, including BigQuery, Cloud Composer/Airflow, and Dataform /DBT.

• Integrate and harmonise data from a large number of heterogeneous source systems while maintaining full traceability to the source.

• Drive best practices in data modelling, warehouse design, and engineering excellence across the team.

• Mentor other engineers and help build a long-term data architecture that supports future business growth and evolving regulatory requirements.

You will share responsibility for the team’s day-to-day data engineering work while taking a leading role in data modelling, architecture, governance, and engineering standards.

To thrive in this role, we believe you have:

• 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.

• A track record of building scalable data platforms that integrate large numbers of heterogeneous source systems.

• A strong ability to balance business requirements, regulatory expectations, and long-term maintainability.

• Strong communication and collaboration skills, with the ability to translate complex requirements into practical data solutions.

• Proficiency in reading and writing SQL and Python.

It is beneficial if you also have:

• Experience in banking, finance, or another regulated industry.

• Familiarity with GCP services such as BigQuery, Cloud Composer/Airflow, and Dataform/DBT, or with comparable cloud data platforms.

• Experience building ELT pipelines and data integration solutions.

• Knowledge of data governance, regulatory reporting, or frameworks such as BCBS 239.

What we offer

• 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 at an innovative company at the forefront of technology.

• A hybrid working model, with the possibility of working remotely up to two days per week.

Do you want to be part of SEB?

We believe that inclusion and diversity are crucial to our future success. We strive to foster an inclusive, value-driven culture in which employees feel valued, respected, and involved, regardless of who they are, what they believe, or where they come from.

We review applications continuously, so please submit your application through the link in this advertisement as soon as possible, and no later than 22 October 2026. If you have questions about the position, please contact Thanh Truong at thanh.truong@seb.se. Please note that applications submitted by email will not be considered.

Please be aware that final candidates undergo background checks. These may include identity verification, verification of qualifications, credit checks, checks of company engagements, and criminal record checks. In some cases, random drug testing may also apply. During employment, SEB employees may be subject to recurring background checks.

SEB Sweden has a redeployment obligation, which means that this position may be subject to internal redeployment.

This employment is covered by collective agreements between Finansarbetsgivarna and Akademikerföreningen, and between Finansarbetsgivarna and Finansförbundet.

Learn more about working at SEB on our careers website or through our career podcasts.

sebgroup.com/career

bit.ly/SEBcareer

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Senior Data Engineer / Data Modeller – Finance & Risk Data Platform | SEB | Sweden | Hybrid

Are you a visionary Senior Data Engineer and Data Modeller with deep expertise in enterprise data warehouse design and data modelling, preferably with experience in Data Vault 2.0? Join us in transforming our existing GCP data platform into an advanced enterprise data warehouse that reliably integrates more than 200 diverse data sources and helps shape the future of finance. SEB is more than a bank with an IT function. We are a progressive technology company powered by innovation and collaboration. From COBOL to AI and everything in between, we offer an impressive technology landscape and a wide range of career paths. Together, we innovate for a sustainable society and build the technology arena of the future welcoming space for everyone. Are you ready for a new challenge? If so, this could be an opportunity for you. About the role You will play a key role in transforming SEB’s Finance & Risk Data Platform into a modern, scalable, and audit-ready enterprise data warehouse. As part of the FR360 Data Platform team, you will help establish a data architecture that enables the reliable integration of more than 200 source systems while meeting the high standards of a regulated banking environment. Your primary focus will be designing and implementing robust data models that support business reporting, regulatory requirements, historical tracking, and data governance. You will work closely with data engineers, architects, business stakeholders, and Finance and Risk specialists to ensure that data is accurate, traceable, and fit for purposes. Key responsibilities include: • Design and evolve the target enterprise data warehouse architecture for the Finance and Risk data domains. Design and evolve the target enterprise data warehouse architecture for the Finance and Risk data domains. • Model complex business data using scalable, maintainable patterns, with a strong focus on Data Vault 2.0 principles and methodologies. Model complex business data using scalable, maintainable patterns, with a strong focus on Data Vault 2.0 principles and methodologies. • Design Hubs, Links, Satellites, Business Vault components, and downstream information marts for operational and analytical use cases. Design Hubs, Links, Satellites, Business Vault components, and downstream information marts for operational and analytical use cases. • Define and promote standards for historization, auditability, lineage, metadata management, and data quality. Define and promote standards for historization, auditability, lineage, metadata management, and data quality. • Build and optimize ELT processes using Google Cloud Platform technologies, including BigQuery, Cloud Composer/Airflow, and Dataform /DBT. Build and optimize ELT processes using Google Cloud Platform technologies, including BigQuery, Cloud Composer/Airflow, and Dataform /DBT. • Integrate and harmonise data from a large number of heterogeneous source systems while maintaining full traceability to the source. Integrate and harmonise data from a large number of heterogeneous source systems while maintaining full traceability to the source. • Drive best practices in data modelling, warehouse design, and engineering excellence across the team. Drive best practices in data modelling, warehouse design, and engineering excellence across the team. • Mentor other engineers and help build a long-term data architecture that supports future business growth and evolving regulatory requirements. Mentor other engineers and help build a long-term data architecture that supports future business growth and evolving regulatory requirements. You will share responsibility for the team’s day-to-day data engineering work while taking a leading role in data modelling, architecture, governance, and engineering standards. To thrive in this role, we believe you have: • Deep expertise in data modelling and enterprise data warehouse design. 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. Proven experience with Data Vault 2.0, including Hubs, Links, Satellites, historization, auditability, and lineage. • A track record of building scalable data platforms that integrate large numbers of heterogeneous source systems. A track record of building scalable data platforms that integrate large numbers of heterogeneous source systems. • A strong ability to balance business requirements, regulatory expectations, and long-term maintainability. A strong ability to balance business requirements, regulatory expectations, and long-term maintainability. • Strong communication and collaboration skills, with the ability to translate complex requirements into practical data solutions. Strong communication and collaboration skills, with the ability to translate complex requirements into practical data solutions. • Proficiency in reading and writing SQL and Python. Proficiency in reading and writing SQL and Python. It is beneficial if you also have: • Experience in banking, finance, or another regulated industry. Experience in banking, finance, or another regulated industry. • Familiarity with GCP services such as BigQuery, Cloud Composer/Airflow, and Dataform/DBT, or with comparable cloud data platforms. Familiarity with GCP services such as BigQuery, Cloud Composer/Airflow, and Dataform/DBT, or with comparable cloud data platforms. • Experience building ELT pipelines and data integration solutions. Experience building ELT pipelines and data integration solutions. • Knowledge of data governance, regulatory reporting, or frameworks such as BCBS 239. Knowledge of data governance, regulatory reporting, or frameworks such as BCBS 239. What we offer • 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 at an innovative company at the forefront of technology. • A hybrid working model, with the possibility of working remotely up to two days per week. Do you want to be part of SEB? We believe that inclusion and diversity are crucial to our future success. We strive to foster an inclusive, value-driven culture in which employees feel valued, respected, and involved, regardless of who they are, what they believe, or where they come from. We review applications continuously, so please submit your application through the link in this advertisement as soon as possible, and no later than 22 October 2026. If you have questions about the position, please contact Thanh Truong at [email protected]. Please note that applications submitted by email will not be considered. Please be aware that final candidates undergo background checks. These may include identity verification, verification of qualifications, credit checks, checks of company engagements, and criminal record checks. In some cases, random drug testing may also apply. During employment, SEB employees may be subject to recurring background checks. SEB Sweden has a redeployment obligation, which means that this position may be subject to internal redeployment. This employment is covered by collective agreements between Finansarbetsgivarna and Akademikerföreningen, and between Finansarbetsgivarna and Finansförbundet. Learn more about working at SEB on our careers website or through our career podcasts. sebgroup.com/career bit.ly/SEBcareer SEB Home Page

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