Senior Data Engineer – Business Data Solutions

Senior Data Engineer – Business Data Solutions



Saxo Bank IT consist of over 500 IT professionals based in Copenhagen and Delhi who, using latest technologies and agile methodologies; design, build and run the Saxo Bank award winning, global multi-asset trading platform. Our specialty is within capital markets with focus on: high reliability, large volumes, low latency and a world class, cloud-based experience for retail, institutional and white-label clients.


Our in-house designed, built and operated Saxo Bank trading platform handles:

  • over 25,000 concurrent online clients 24 hours per day / 5,5 trading days per week
  • more than 160,000 unique monthly users to our social trading portal
  • in excess of  400,000 price feed updates per second
  • intraday execution and  booking of up to 1000 trades per second
  • over 1.000,000 trade transactions processed daily




The Business Data Systems team is responsible for enabling business units in creating value from internal and external data. We interface with almost all business units in the Bank and our role is varied. Depending on who we interface with our role may range from consulting to implementing. Examples of business processes that we support:


  • Self-service business intelligence, e.g. by rolling out Power BI. We deliver, scale and maintain product components (Premium capacities, connectivity between Azure and on-premises). We advocate the use of Power BI and provide guidelines to analysts and developers around the Bank on efficient use (e.g. data modelling, sharing, data governance) and we liaise frequently with Microsoft on bugs, roadmap, and product development.
  • Data models supporting specific business processes such as online marketing spend optimization, performance management, management reporting and trading platform feature usage.
  • We provide data engineering services to the Bank’s Big Data and Artificial Intelligence teams. This typically includes tooling, feature engineering, production environments for models.


Whatever we do, we try to stay on the forefront of new technologies and always use the right tool for the job. Typically, this includes (Azure) Analysis Services, C#, Python, SQL Server Machine Learning and most likely Azure Data Lake / Analytics, Event hubs and stream analytics going forward.


As a Senior Developer in Saxo Bank you will:

  • Work directly with analysts and enable them in using our solutions to their fullest. Sometimes by providing guidance, sometimes by actually implementing, enhancing or optimizing existing data models.
  • Develop and enhance IT driven data models.
  • Migrate workloads to cloud services, e.g. Azure Data Lake.
  • Participate in an agile development processes with emphasis on taking ownership and responsibility for your deliveries     



  • You are passionate about technology but even more passionate about turning technology into concrete valuable solutions
  • You are an excellent communicator and comfortable communicating with colleagues at all levels.
  • You are an excellent problem solver. You solve difficult technical problems independently and with colleagues.
  • Practical and hands-on experience with one or more self-service BI tools such as Tableau, Qlik or (preferably) Power BI
  • Excellent in T-SQL and DAX skills
  • Proficient in Python, C#, PowerShell, REST APIs
  • You have used Fiddler, Wireshark and PowerShell regularly. You understand what OAuth, Kerberos and impersonation means.
  • General knowledge of Azure data services and Microsoft Business intelligence suite desirable



First and foremost, we offer more than just a job; being an employee in Saxo Bank is an opportunity to invest in your future. In addition, you get:

  • Chance to join a truly growth-embracing culture, which will commit to helping you grow personally and professionally.
  • An opportunity to work as part of a dynamic, very ambitious and, at the same time, informal and pleasant working environment.
  • An attractive salary plus benefits package. 
Application deadline:
Expected Start Date:
Job type:
Working hours:
Working days:
Company homepage: