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Data Engineer – impact company efficiency with smart data



Are you eager to work on impactful projects alongside experienced professionals? This role offers a great opportunity to develop your skills and expand your network while designing, developing, and maintaining data pipelines and infrastructure. Sounds interesting? Then seize this opportunity now! 

Join a highly talented team

At Systematic, you will be part of our internal Business Intelligence Team in Data & Digitalization. The team in Aarhus comprises five highly talented colleagues: an Architect, a Backend Developer, a Data Scientist, an Intern, and a Team lead. The team was established two years ago and controls internal data and reporting using Power BI within Systematic. 


Data & Digitalization exist to accelerate the digitalization of Systematics' operating model. The team is responsible for various tasks - from engaging in customer dialogue and data modelling, building up data warehouses for analysis, reporting based on customer needs and requirements, and designing data-driven processes to fit the company's future direction.

Contribute to the growth 

As a Data Engineer, you will design, develop and maintain scalable data pipelines and infrastructure in Microsoft Azure to support our data-driven initiatives. You will collaborate with cross-functional teams to understand data requirements and implement solutions that drive business value. In addition to that, some of your key tasks will be to:  

  • Develop and optimize ETL processes to ensure timely and accurate data delivery.
  • Develop and maintain data models
  • Ensure data quality and integrity throughout the data lifecycle
  • Monitor and optimize the performance of data systems to meet scalability requirements
  • Stay current with emerging technologies and best practices

Strong analytical and problem-solving skills 

We are looking for a new colleague with 3+ years of experience in a similar role, who is proactive and has strong analytical skills. You hold a Bachelor's or Master's in Computer Science, Business Intelligence, or a related field.

Moreover, we envisage that you: 

  • Have experience with data warehousing 
  • Have experience with Python and SQL
  • Have experience with APIs, integrating data from external sources
  • Have problem-solving skills and can work independently 
  • Have experience with Azure Data Factory
  • It is advantageous if you have experience working with Tabular Editor, Microsoft SQL Server Studio, and data lakes.
  • Are fluent in English, as it is our corporate language and used daily in conversations with colleagues worldwide


Please note that you must be able to present a clean criminal record and have lived in a NATO/EU country for the past seven years as we work with security-classified projects. Read more here

Never stop developing  
Systematic is truly international, proudly Danish and uniquely people-centric. Together, we write intelligent and innovative code to drive progress and improve lives. We develop IT solutions that make a real difference where it matters most. This is why we never stop developing. Here, there is room to be professional and personal. It is not just a place to work but a place to belong.  


You can look forward to joining our Employees Club, which offers almost 100 events of both social and professional character a year – plenty to choose from. Our colleagues also highlight our canteen, which serves various delicious and healthy dishes daily. In addition, we offer several employee benefits such as paid Home Internet, health insurance and a company pension scheme. Finally, we are always up for a friendly game of padel at our new padel court in Aarhus! 

Start your development here 
We expect to assess applications during the last week of June and the first week of July. We anticipate the interviews will take place shortly after, as we wish to welcome our new colleague as soon as possible after the summer.

If you have any questions, you are always welcome to contact us on tel. +45 8943 2000 and ask for Tatiana Gori, Senior BI Consultant. 




Aarhus C, DK

Business Unit: 
Division:  Data & Digitalization

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