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.

About the role:

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. 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.

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! 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.

Main tasks:

• Design and implement data quality checks and automated tests in Databricks and dbt pipelines.

• Define, measure, and report on data quality metrics together with data owners and stakeholders.

• Build monitoring and alerting to detect anomalies, schema changes, and freshness or completeness issues.

• Investigate data quality incidents, perform root cause analysis, and implement lasting fixes.

• Contribute to data governance work such as data contracts, lineage, and documentation.

• Use version control and CI/CD to integrate quality checks into the development workflow.

• Ensure security and compliance throughout the data lifecycle, in line with banking requirements.

• Document processes and contribute to best practices.

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.

For this role, you'll need:

It's positive if you have:

• Python experience.

• Previous experience in data-focused roles within the financial sector.

• Familiarity with Agile and Scrum methodologies.
  

To thrive and perform well in the role, we believe that you need to be:
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.

In addition to this, it is important to us that you recognize yourself in our values: we are wholehearted, we collaborate and we take the lead.

Our offer to you

• A caring company culture: We genuinely care about each other!

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.

Practical information:

• Start: As soon as possible

• Location: Oslo/Stockholm

• Form of employment: Permanent position with probation period

• Extent: Full-time

• Working hours: Regular office hours

• 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! 🙏✨