Data Engineer
3 weeks ago
Job ID: 24513
Would you like to get in on the ground floor of building a new data platform? We are now looking for a Data Engineer to accelerate our shift towards a cloud-based lakehouse for NAM’s Investments Domain.
Nordea Asset Management (NAM) is the centre of investment management in the Nordea Group and in the Asset & Wealth Management division. NAM is the largest asset manager in the Nordics with the vision of being a leading European Asset Manager. We want to do this by delivering returns with responsibility. We meet customer demands and guide our customers in the right direction in asset selection while ensuring prudent ESG practices. NAM has around 900 employees and more than 475 Nordic and international institutional clients.
About this opportunity
Welcome to the Investments Engineering team. We add value by automating and implementing trading execution and analytics. As Data Engineer, you’ll play a valuable role in building vital data pipelines and tooling to support our quantitative analysts.
What you’ll be doing: Developing the INVADE Data Platform, adding new data sources and transformations in response to new business requirements Continually improving the platform, adopting new technologies and patterns as they become available Supporting the Trading Quant team by working together to optimize the data model and integrating new sources Building internal tooling to support both development as well as the Trading Quant team Continue migrating the existing platform into our Lakehouse
You’ll join a motivated, international, agile, cross-functional and end-to-end team. The role is based in Copenhagen.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.
To do well in this role, we believe that you: Care about good software practices such as “Everything-as-code”, automated testing, good CI/CD practices, all in service of continuous delivery with high speed and quality Believe in the “you build it, you run it” approach to ownership Are able to learn on your feet, interested in exploring better ways of working
Your experience and background: Experience working with Python in a data engineering capacity Experience with SQL
In addition it is advantageous if you have experience in any of the following: Building and deploying containerised applications on Kubernetes Using Apache Kafka for stream processing and data distribution Building DAGs with Apache Airflow Familarity with Apache Iceberg/Lakehouse AWS or other public cloud experience Infrastructure-as-code tooling such as Terraform Familiary with C#/.Net Experience working in end-to-end delivery teams
If this sounds like you, get in touch
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