About the job

Are you looking for a role where your engineering skills create real business value? As a DataOps Engineer in NOBA Bank Group, you’ll be instrumental in ensuring that raw data is efficiently transformed into structured, high-quality assets. You’ll play a key role in modernizing and maintaining our data infrastructure, implementing new technologies, and enabling the organization to innovate and grow through reliable, accessible, and well-managed data operations.

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 for Data Management & New Initiatives team under Data & Analytics Engineering department.

In this role, you’ll design, develop, and maintain robust data pipelines, partner with teams across the bank, and ensure that business critical data needs are met. You will take responsibility for ensuring continuous operations of our data warehouse across all domains, making sure daily processes run smoothly and data is readily accessible for all users. You’ll also monitor data infrastructure performance, proactively troubleshoot issues, and collaborate with other engineers to develop our security and business continuity best-practices.

This is a great opportunity to enjoy a high degree of self-responsibility and 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

Design, build, and maintain data pipelines using Databricks and dbt.
Implement and manage CI/CD pipelines for data workflows.
Collaborate with data engineers, analysts, and DevOps teams to ensure robust, scalable, and reliable data operations.
Monitor data infrastructure performance and proactively perform troubleshooting to ensure high availability and reliability.
Ensure data quality, security, and compliance throughout the data lifecycle.
Monitor data infrastructure performance and proactively perform troubleshooting to ensure high availability and reliability.
Enhance data usage and accessibility by applying modern data engineering practices
Document processes and contribute to best practices.

We Are Looking For You Who

Enjoys working at the intersection of data engineering and operations, ensuring that data infrastructure is robust, efficient, and reliable. You are passionate about automating processes, monitoring systems, and proactively resolving issues to keep data flowing smoothly across the organization.

You are proactive and detail-oriented, with a genuine curiosity for new technologies and best practices in Data. You thrive in collaborative environments, approach challenges with a “can-do” mindset, and enjoy transforming complex operational problems into practical, scalable solutions. You value a high degree of self-responsibility and are motivated to expand your expertise in areas that interest you, contributing to both the stability and innovation of our data platform.

For This Role, You’ll Need

Experience working in DataOps/ AI Ops, Data Engineering, or similar technical role focused on data infrastructure and operations.

An academic degree in a relevant field such as data engineering, computer science, software engineering, or a related discipline.

Strong proficiency in ETL processes and data logic, with a solid understanding of how data is sourced, transformed, and delivered to end users.

Hands-on experience with Microsoft Azure's data stack

Practical experience working with both Databricks and dbt in a production environment.
Ability to manage and automate data infrastructure resources (e.g., clusters, SQL Warehouses, permissions).

Solid understanding of DevOps practices, including experience with version control systems and CI/CD tools.

Excellent English communication skills, with a good understanding of Norwegian and/or Swedish considered an advantage.

It's Positive If You Have

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

Familiarity with Agile and Scrum methodologies.
Familiarity with Infrastructure as Code

Our offer to you

Freedom with responsibility: Flexible working arrangements to suit your work style and a high degree of self-responsibility.

Career development: Opportunities to grow and develop in your role, and to expand your expertise into areas of your interest.

Feedback culture: A supportive environment that encourages open communication.

Coaching leadership: Managers who guide and support your career journey.

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.

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 .

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

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! ✨