Data Engineer with a Focus on Data Modelling – Finance & Risk Data Platform | SEB, Solna

Are you an experienced Data Engineer 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 diverse data sources and helps shape the future of finance.

SEB is more than a bank. We are a technology-driven financial institution where everything starts from our customer needs and

business outcomes. Cloud, AI, automation and modern engineering are natural parts of how we build, operate and continuously

improve our technology platforms. From core banking platforms to hybrid and multi-cloud infrastructure, cybersecurity, platform

engineering, AI-enabled operations and automation, we offer a broad tech landscape and many paths to grow. Together, we are

shaping secure, responsible and future-proof solutions for our customers and society. Are you ready to take on a new challenge?

You will play a key role in transforming SEB’s Finance & Risk Data Platform into a modern, scalable, and audit-ready enterprise

data warehouse. This is a hands-on data engineering role with a particular focus on enterprise data modelling. As part of the

FR360 Data Platform team, you will help establish a data architecture that enables reliable integration at enterprise scale 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 data management, and data governance. You will work closely with data engineers, architects, business stakeholders, and

Finance & Risk specialists to ensure that data is accurate, traceable, and fit for purposes.

• Take end-to-end responsibility for data modelling, from source analysis to the design and implementation of target data

models.

• Use SQL and other analytical techniques to understand source data structures, content, relationships, keys, grain, and data

quality.

• Build and optimise ELT processes using Google Cloud Platform technologies, including BigQuery, Cloud Composer, dbt, and

Dataform.

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

governance, and data engineering standards.

• 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.

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

covering data structures, semantics, keys, and data quality.

• Experience using AI-powered tools to improve engineering, operations or automation workflows, either professionally or through

personal projects.

• Familiarity with GCP services and tools such as BigQuery, Cloud Composer, Apache Airflow, Dataform, and dbt, or with comparable

cloud data platforms.

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 15 November 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.

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

Finansarbetsgivarna and Finansförbundet.