Om tjänsten
As a Data Engineer in NOBA Bank Group, you'll turn raw data into structured, high-quality assets that the whole organization can
use. You'll build and evolve our data platform and help the bank innovate and grow through reliable, accessible data.
About the role:
The Data & Analytics Engineering department brings together specialists in data infrastructure, analytics, and data management.
Together we build a modern and reliable data foundation that supports decision making across the business. This role is in the
Data Management & New Initiatives team.
You'll design, develop, and maintain data pipelines and data models on Databricks and dbt. You'll work with colleagues across the
bank to understand business needs and translate them into well-designed, scalable data solutions. From ingesting new sources to
modelling data for analytics and reporting, you'll own the work end to end and see the impact of what you build.
We use AI extensively in our daily work, from writing and reviewing code to documentation and analysis. You'll be encouraged to
use AI tools to work faster and smarter, and to help us find new ways to apply them.
This is a great opportunity to enjoy a high degree of self-responsibility and to expand your expertise into areas of your
interest. You'll collaborate broadly and see the tangible results of your work.
We offer a hybrid working model with two common in-office days. While we value flexibility, we also prioritize collaboration, team
building, and enjoying fikas and after work gatherings together!
Main tasks:
We are looking for you who:
Enjoys building well-structured, reliable data solutions and is curious about new technologies and modern data engineering
practices. You like understanding the "why" behind a business need and turning it into something practical and scalable.
You're proactive and detail-oriented, you thrive in collaborative environments, and you approach challenges with a "can-do"
mindset. You value a high degree of self-responsibility and are motivated to grow in the areas that interest you. You're open to
using AI as part of how you work and stay curious about how it changes modern data engineering.
For this role, you'll need:
- Strong proficiency in SQL and in ETL/ELT processes, with a solid understanding of how data is sourced, transformed, and
delivered to end users
It's positive if you:
- Familiarity with AI tools (e.g., Claude, GitHub Copilot, or similar) and a pragmatic, curious approach to using them in your
work
Our offer to you
You'll also have the chance to work with cutting-edge data technologies and be part of shaping the future of NOBA's data
landscape.
It's important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we take the lead.
Practical information:
- For this position, we conduct a credit check on the candidate we offer the job to. Employment is contingent upon a satisfactory
result.
Have you heard of NOBAVERSE?
In our NOBAVERSE, we value openness, trust, and diversity. Here, you can influence your own development and have fun along the way
to achieving our goals – all in a workplace that’s a little extra bubbly! ✨
Read more about our employee value proposition on our careers page.
Read more about how our recruitment process works in the FAQ.
We care for your privacy and, with reference to the GDPR, would like to ask you not to include any sensitive personal data in your
application, for examples information about ethnic origin, political opinions, religious beliefs or information about your health.
Read more about how we handle your personal data here.
If you have any questions or concerns about the position, please contact the responsible recruiter.
We look forward to receiving your application! 🙏✨