.NET Software Engineer

Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.

Responsibilities: :

• Management and development of core D&B software systems using a variety of technical stacks and delivered via multiple channels, e.g. Microsoft stack (C# .NET and MSSQL)
• Handles data ingestion, mastering, matching and dispatching of Danish data.  
• Working in cross-functional teams, develop features end-to-end across the software stack. 
• Adherence to defined quality and other processes.
• Write elegant, simple code that lends itself to low cost maintenance, extensibility, testability and performance.
• Work Agile process with 2-week sprints, hold monthly competency meetings, and have a focus on compliance and data security.
• Proactively refine tasks for the team backlog.
• Provide support to peers with in the local and off-shore teams.
• Take on delivery responsibilities outside of development as needed.

Requirements: :

• Bachelor’s degree in Computer Science or related area
• Proficiency in T-SQL & MSSQL
• Excellent C# .NET programming skills
• Have worked (for at least 5years) and have an appreciation of the realities of commercial software development.
• The ability to write well documented, maintainable and testable code.
• Ideally have worked in a scrum/agile development team.
• Able to work within a collaborative team environment containing local and remote team members.
• Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Fluency in English

Nice to have::

• Practical experience of any of the following is a plus: (Data engineering, AWS/Cloud, Build/release tools, Unit test or continuous integration frameworks, Knowledge of Machine Learning techniques and technologies)