Join us as a Student Data Engineer in Fund Accounting Products
Nykredit
As a Student Data Engineer in Fund Accounting Products, you will play an important role in our team, helping us build reports, automate processes and develop the data flows and platforms that support fund valuation, alternatives and fund accounting.
Nykredit is investing heavily in AI, and our team takes an AI-first approach. We actively consider how AI can help us code, test and solve problems more efficiently, while taking responsibility for the quality of the results.
You will also become part of the Nykredit Group, where we offer opportunities and development for those who are curious and eager to learn. Through our student network, Nykredit Youth, you will be invited to professional events and networking opportunities with other students and young colleagues across the Group.
Are you motivated by data engineering and new technologies?
Then you have come to the right place. Your focus will be on reports, data processing, event-driven streaming pipelines and the platforms supporting our business domains.
You will work with technologies such as Python, SQL, Microsoft Fabric, Apache Spark, Azure and Kafka, alongside colleagues using GitHub, Terraform and Grafana for development, deployment and monitoring. These are technologies you will have the opportunity to work with and learn about, not a checklist of things you need to know before applying.
Your tasks will include:
- Developing and improving reports used by the business.
- Preparing, transforming and validating financial data.
- Automating manual tasks using Python and SQL.
- Helping build and test event-driven streaming pipelines and integrations using Kafka.Working with SimCorp Dimension and bringing its data into our Wealth Data Hub.
- Improving monitoring and automation of data flows and operational tasks.
- Exploring how AI can help us modernise legacy code, automate operations and improve data quality.
- Investigating data quality issues and improving existing solutions.
The position is 10–15 hours per week at our headquarters, Nykredit Huset, Sundkrogsgade 25 in Nordhavn, where most of the team is based.
AI as part of your everyday work
We work with an AI-first approach: when tackling a task, we actively consider how AI can help us solve it better and more efficiently, while taking responsibility for the quality of the result.
You will get hands-on experience with AI-assisted tools and platforms for coding, testing, documentation and troubleshooting. Together with experienced colleagues, you will explore how AI can help modernise legacy code, automate repetitive work and improve data quality.
We encourage you to experiment and bring your own ideas while learning to understand, review and validate AI-generated output. You do not need experience with specific AI tools before joining us. We will help you get started.
Are you the one we are looking for?
We imagine that you:
- are studying Computer Science, Software Engineering, Data Science or a related field,
- have some experience with Python and SQL from coursework, personal projects or a previous student job,
- enjoy solving problems and working carefully with data,
- are comfortable asking questions and sharing what you learn,
- are curious about AI-assisted development and keen to use it in practice,
- are willing to experiment with AI while questioning, reviewing and understanding the output and code you work with.
What matters most is your curiosity and willingness to learn alongside experienced colleagues. In your application, we would therefore like to hear about a project or assignment you have worked on, how you approached it and what you learned.
Your new team
You will join Fund Accounting Products in Nykredit Wealth Technology, where engineers and specialists work closely with the business.
We are modernising our solutions through the re-implementation of SimCorp Dimension, new SaaS solutions and the replacement of existing in-house systems. You will contribute to both existing solutions and new deliveries, with guidance from experienced colleagues and opportunities to learn how financial requirements translate into working code and reliable data.
We look forward to welcoming you as our new colleague.
Want to know more?
You are welcome to contact Development Manager Søren Valther Rasmussen at +45 44 55 51 42 if you have any questions about the position.
If you have questions about the recruitment process, please contact the recruitment team at [email protected].
We look forward to receiving your application and CV.