Data Engineer – Finance & Risk

Project overview

About the role

You will play a key role in transforming the client’s Finance & Risk Data Platform into a modern, scalable and audit-ready enterprise data warehouse. This is a hands-on Data Modeler role with a particular focus on enterprise data modelling.

As part of the 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, data architects, business stakeholders and Finance & Risk specialists to ensure that data is accurate, traceable and fit for purpose.

Key responsibilities

You will also share responsibility for the team’s daily data engineering work while taking a leading role in data modelling and data governance.

To thrive in this role, we believe you have

It is beneficial if you also have

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Slutdatum: 2027-04-30

Omfattning: 100%

Ort: Solna

Språk: Engelska

We are reviewing applications on an ongoing basis, and this request may close before the stated deadline.

Please submit your application directly through our system, including:

-- An updated CV

-- Your hourly rate (including any expenses)

-- Your availability and earliest possible start date

-- A brief motivation explaining how your experience aligns with the assignment requirements. Please highlight how you meet the customer's key requirements and include 1–2 relevant reference assignments that best demonstrate your suitability for the role.

• Take ownership of implementing and maintaining physical data models in the target data platform.
• Use SQL and other analytical techniques to understand source data structures, content, relationships, keys, granularity 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 and data warehouse design across the team.
• Deep expertise in data modelling and enterprise data warehouse design.
• Proven hands-on experience delivering data models, from requirements gathering and source analysis through conceptual and logical modelling to physical design and production implementation.
• Experience working with scalable data platforms that integrate large numbers of heterogeneous source systems.
• The 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 from banking, finance or another regulated industry.
• Hands-on experience with Data Vault 2.0 modelling principles and implementation.
• Experience building and maintaining ELT pipelines and data integration solutions.
• Familiarity with GCP services and tools such as 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.
• Startdatum: 2026-11-23

Project details

• Start: 2026-11-23
• Remote: onsite
• Location: Solna, Sweden, SE