Data Engineer for Credit and Liquidity Risk

at  Advisense

Advisense is a leading advisor firm within the Nordic Financial Services sector. We offer unique insights, working with approximately 400 Nordic clients annually – from the largest banks to smaller investment boutiques and startups as FinTech companies.
Advisense has been redefining the finance industry since 2008 and continues to grow. It means we’re constantly improving ourselves to help our customers handle their challenges and guide them in a changing environment. We think differently and encourage our people to do the same, to grow and develop. By constantly seeing new opportunities, we create effective and sustainable solutions that generate value present day and in the future in the Governance, Risk and Compliance areas. In this way, we contribute to the success of our clients, a better financial sector, and a healthy society.
We are working to create innovative solutions for the management, development, and analysis of data for financial institutions. Our work is aimed at enabling insights and actions based on the data available to our clients, leveraging the expanding amount of data necessary to stay up to date on regulatory compliance within the financial sector.

THE ROLE:

We are seeking a talented and motivated Data Engineer to join our tech development team. The role will primarily be focused on developing and maintaining data models for financial institutions, utilizing both relational and NoSQL technologies. In addition to data modelling, the role will involve maintaining and testing data pipelines to ensure the quality and maintainability of the data infrastructure. The ideal candidate will have a background in data engineering, preferably with experience in both relational and NoSQL databases, as well as a passion for delivering high-quality solutions.

TASKS:

As a part of the team working on internal tech development, you will be working on tasks such as, but not limited to:

• Data engineering, including development and maintenance of data pipelines and ETL workflows.
• Develop and maintain data models for financial institutions using both relational and NoSQL technology.
• Maintain and test data pipelines to ensure the quality and maintainability of the data infrastructure.
• Collaborate with external stakeholders to develop and extend existing data models, enabling new use cases, regulations, and opportunities for analysis.
• Work in an agile and adaptable environment within a supportive team.