Om tjänsten
As a Data Engineer focused on data quality in NOBA Bank Group, you'll make sure the data our bank relies on is accurate,
consistent and trusted. You'll build the checks, tests and monitoring that catch problems early, and work with teams across the
bank to fix them at the source.
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 and implement data quality frameworks across our Databricks and dbt environment. This includes automated testing,
validation rules, anomaly detection, and monitoring of data quality metrics. You'll partner with data owners, analysts, and
engineers to define what "good data" means for each domain. You'll investigate quality issues, find root causes, and drive lasting
fixes rather than quick patches.
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:
- Use AI tools to speed up development, testing, and documentation, and explore how AI can support anomaly detection and quality
monitoring
We are looking for you who:
Takes pride in data that people can trust. You have a sharp eye for detail and a curious, investigative mindset, and you enjoy
digging into why something looks wrong and making sure it doesn't happen again.
You're proactive and collaborative, you communicate clearly with both technical and business colleagues, 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:
It's positive if you have:
- 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! 🙏✨