NOBA Bank Group AB (publ)

At NOBA, we're all about collaboration, curiosity, and tackling tech challenges together. As part of our skilled dev team, you'll dive into both backend and frontend work, solving problems with people who genuinely enjoy building great things. We're currently looking for Senior Fullstack .NET Developers to join our team. We aim to bring together people with varied backgrounds and experiences, united by a passion for solving tech challenges and building great digital solutions! About the role: You'll have the chance to work across the full stack, developing new web services, improving system usability, and maintaining existing solutions. You will be trusted in designing, building and implementing modern web services for internal and external users using modern AI-assisted development tools to work efficiently while staying in control of quality and security. We're big on continuous learning and knowledge-sharing, plus, we believe in a healthy work-life balance, giving you time to recharge and pursue your passions outside of work. Join a team of friendly and highly skilled developers, based in the central of Stockholm. What you will do: * Develop web applications with a focus on great user experiences * Build internal tools that make life easier for your colleagues * Lead the full lifecycle of projects, from concept to delivery * Integrate third-party solutions * Collaborate closely with fellow developers in an Agile environment. We are looking for you who: Are a problem solver who's not afraid to push beyond the comfort zone and try new things. Strong communication and teamwork are essential, and we're after someone who isn't shy about sharing their ideas. You'll need: * 5+ years of software development experience * 3+ years in web development with C#/.Net/.NetCore * 3+ years working with React or similar JavaScript frameworks * Hands-on experience using AI-assisted development tools, such as coding assistants, as part of your workflow * Experience designing complex solutions with a focus on logical design * Familiarity with Agile Scrum methodologies * Experience with relational and document databases * Fluency in English (written and spoken) It's positive if you have * Experience with Azure or other public cloud platforms * Experience using AI-assisted development tools in a professional setting, ideally within defined guidelines or in a regulated environment * Experience integrating LLMs or AI features into production applications * Awareness of security and data-protection considerations when using AI tools around proprietary code, customer data, and personal data 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. 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! 🙏✨

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: * Design, build, and maintain data pipelines using Databricks and dbt * Develop and maintain data models that make data easy to understand and use for analytics and reporting * Integrate new data sources and transform data from ingestion through to consumption. * Optimize pipeline performance, scalability, and cost * Apply version control and CI/CD practices to deploy changes safely and efficiently * Use AI tools to speed up development, testing, and documentation, while applying sound judgment on quality and security * Collaborate with analysts, engineers, and business stakeholders to deliver data that meets real needs * Ensure data quality, security, and compliance throughout the data lifecycle * Document solutions and contribute to best practices 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: * Experience as a Data Engineer or in a similar technical role * Fluency in English, along with fluency in either Swedish or Norwegian * An academic degree in a relevant field such as data engineering, computer science, or a related discipline * Practical experience with both Databricks and dbt in a production environment * Strong proficiency in SQL and in ETL/ELT processes, with a solid understanding of how data is sourced, transformed, and delivered to end users * Experience with data modelling (e.g., dimensional modelling, medallion architectures) * Hands-on experience with Microsoft Azure's data stack * Solid understanding of version control systems and CI/CD tools It's positive if you: * Python experience * Familiarity with AI tools (e.g., Claude, GitHub Copilot, or similar) and a pragmatic, curious approach to using them in your work * 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. It's 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 * 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! 🙏✨

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: * 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 * Use AI tools to speed up development, testing, and documentation, and explore how AI can support anomaly detection and quality monitoring * 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. 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: * Experience as a Data Engineer or in a similar role, with a clear focus on data quality, testing, or validation * Fluency in English, along with fluency in either Swedish or Norwegian * An academic degree in a relevant field such as data engineering, computer science or a related discipline * Practical experience with both Databricks and dbt in a production environment * Experience with data observability or data governance tools (e.g., data catalogs, lineage) * Strong SQL skills and a solid understanding of ETL/ELT processes and data logic * Experience implementing data tests and validation (e.g., dbt tests, Great Expectations, or similar) * Hands-on experience with Microsoft Azure's data stack * Solid understanding of version control and CI/CD practices It's positive if you have: * Python experience * Familiarity with AI tools (e.g., Claude, GitHub Copilot, or similar) and a pragmatic, curious approach to using them in your work * Previous experience in data-focused roles within the financial sector * Familiarity with Agile and Scrum methodologies 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. It's 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 * 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! 🙏✨