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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.
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.
- Enhance data usage and accessibility by applying modern data engineering practices.
- Document processes and contribute to best practices.
Krav
- You have experience working in DataOps, AI Ops, Data Engineering, or a similar technical role focused on data infrastructure and operations.
- You hold an academic degree in a relevant field such as data engineering, computer science, or software engineering.
- You possess strong proficiency in ETL processes and data logic with a solid understanding of how data is sourced, transformed, and delivered.
- You have hands-on experience with Microsoft Azure's data stack and practical experience with Databricks and dbt in a production environment.
- You are fluent in English and either Swedish or Norwegian.
- You have a solid understanding of DevOps practices, including experience with version control systems and CI/CD tools.
Ferdigheter
Erfaring
mid-level