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

SEB; Solna kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid working model (up to 2 days rem

Extensive training opportunities

Career development

Job summary

SEB is seeking an experienced Data Engineer to transform our Finance & Risk Data Platform into a modern, scalable enterprise data warehouse. The role focuses on enterprise data modelling within FR360 Data Platform, ensuring robust data integration at enterprise scale in a regulated banking environment.

You will design and implement robust data models supporting reporting, regulatory needs, historical data management, and governance, collaborating with data engineers, architects, stakeholders,

Qualifications

• Deep expertise in data modelling and enterprise data warehouse design.
• End-to-end data model delivery from requirements through physical design and production implementation.
• Experience building scalable data platforms integrating many source systems.
• Hands-on ELT pipeline development and data integration experience.
• Ability to balance business needs with regulatory requirements and maintainability.
• Strong communication to translate complex data requirements into practical solutions.

Responsibilities

• Take end-to-end responsibility for data modelling, from source analysis to the design and implementation of target data models.
• Use SQL and analytical techniques to understand source data structures, content, relationships, keys, grain, and data quality.
• Design target data models using Data Vault 2.0 principles and scalable patterns.
• Define and promote standards for historical data management, auditability, lineage, metadata, and data quality.
• Build and optimise ELT processes using Google Cloud Platform technologies (BigQuery, Cloud Composer, dbt, Dataform).
• Drive best practices in data modelling, warehouse design, and engineering excellence across the team.

Skills

Data modelling

Data warehouse design

Data Vault 2.0

SQL

Python

ELT pipelines

Data governance

GCP

BigQuery

Cloud Composer

dbt

Dataform

Airflow

Education

Bachelor’s degree or higher in a relevant field

Tools

BigQuery

Cloud Composer

Airflow

dbt

Dataform

Job description

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?

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. 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.

Key responsibilities include:

• 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.
• Design target data models using scalable and maintainable patterns based on Data Vault 2.0 principles and methodologies.
• Define and promote standards for historical data management, auditability, lineage, metadata management, and data quality.
• Build and optimise ELT processes using Google Cloud Platform technologies, including BigQuery, Cloud Composer, dbt, and Dataform.
• Drive best practices in data modelling, warehouse design, and engineering excellence across the team.

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.

To thrive in this role, we believe you have:

• Deep expertise in data modelling and enterprise data warehouse design.
• 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.
• A track record of building scalable data platforms that integrate large numbers of heterogeneous source systems.
• Hands‑on experience building and maintaining ELT pipelines and data integration solutions.
• 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 covering data structures, semantics, keys, and data quality.
• Strong SQL and Python skills.
• Experience using AI-powered tools to improve engineering, operations or automation workflows, either professionally or through personal projects.

It is beneficial if you also have:

• Experience in banking, finance, or another regulated industry.
• Hands‑on experience with Data Vault 2.0 modelling principles and implementation.
• Familiarity with GCP services and tools such as BigQuery, Cloud Composer, Apache Airflow, Dataform, and dbt, or with comparable cloud data platforms.
• 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 for 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.

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.

Visit our careers website: sebgroup.com/career

Listen to our career podcasts: bit.ly/SEBcareer