Data Engineer with a passion for data

Det här jobbet är hämtat från Arbetsförmedlingen, rekryteringen utförs inte av Manpower

Ekonomi, Finans, Försäkring, Kontor, Administration, Kundtjänstarbeten, HR, juridik
Antal tjänster: 
At Stratiteq you will meet a bunch of passionate, creative and skilled people to learn from. We believe, that if we stay curious about our craftsmanship, we will continue to learn and shape epic solutions along the way.

At Stratiteq we take pride in what we do, and we want to truly make a difference for our clients. Therefore, we choose projects that makes an impact, both for our clients and for the society. 


Our employees are the glue to our culture and simply the stars of the show. It is important for us that you are happy and well, which is why we have a benefit package that is focused on your personal development and your wellbeing - in short: on you!

Examples of this could be your personal yearly competence budget, our friendly work-life balance policy or why not the extensive health check-up.

It goes without saying that we care for diversity and equality. At Stratiteq, we want to be as proud of the people we grow, as we are of the company we grow.  


As a Data Engineer at Stratiteq you  will develop tomorrow´s intelligent solutions, enable data-driven decision-making and make an impact within our client's businesses. With  amazing technical skills and a creative mind, you help our clients achieve tangible business results such as improved products, utilization, less maintenance and in the end higher efficiency and better user experience. 

You dont mind experimenting with data using machine learning and data mining technologies as well as classical statistics. In other words, you will translate hard product goals and business problems into data problems, draw conclusions from data, and recommend actions. 

We are on an exciting journey, with a thrilling growth plan. You will become an important part of the growth of our office in Malmö or Stockholm and we expect that you want to make an impact both within the company and externally towards our clients. 

We strive to be thought leaders, are you ready to join?   


To succeed, continuous learning is crucial. At Stratiteq we learn from each other and share our experiences from different projects. For instance, via brown bag sessions, internal conferences, or external training. We work closely together, and we take pride in team effort and cheer for each other.   

For this role we believe you are a creative and analytic person who uses your knowledge and engineering skills to create  business value. Your ability to transform data and statistics into a strategic way of thinking is the key.  We are looking for passionate people, as we believe that if you have a passion for your craft, you can learn the skills. 

You probably have an educational background, Master or Bachelor´s degree within a suitable area such as engineering or science. Alternatively, a comparable industry career with significant experience in analytics.  

Your skills: 

Experience from a cloud platform (e.g., Azure, Google, AWS) 

Database languages (e.g., SQL, NO SQL). 

Experience with data analysis and visualization (e.g., Power BI, Qlik) 

Ability to work independently, as well as collaborate with others. 

Ability to automate analytic tasks. 

Comfortable in English, both in spoken and when written. It is an advantage if you also speak Swedish.


Stratiteq helps companies and organizations become sustainable data-driven businesses. We do this through delivery of technology and strategy implementation, for smart decision-making. We leverage leading technologies such as Microsoft Azure, Dynamics 365, Qlik-, and Power BI on our mission. 


We process the applications on an ongoing basis, which could mean that the process ends before the final application date, so do not wait to apply.   

If you have questions or care for more information, don’t be a stranger! Our Talent Acquisition Specialist Lina is happy to help you.   

Lina Lindgren  
lina.lindgren (   
Sista ansökningsdag