Are you our new Data Engineer?

Being a Data Engineer at Intellishore, you will get to shape and implement technology as well as business solutions to deliver value to our clients across different industries and business areas. We are not an industry-specific consultancy, so you should thrive in learning new industries and solving complex infrastructural problems. Two projects are rarely the same!

You will get the chance to immerse yourself in some of the most exciting technologies while gaining an in-depth understanding of specific business challenges as you engage with clients in close collaboration with your dedicated Intellishore project team. Because working at Intellishore means working together with people representing other competencies than yourself.

What will be your key responsibilities?

Intellishore is a cross-functional consultancy where you will represent the back-end area in the technical track. Here you will be responsible for (among other things):

• Building value-creating and innovative solutions
• Exploring new technologies and tools to enable the development of world-class solutions
• Advising everyone from close project team collaborators to C-level executives on the best-fit solutions for their organization

And what specific capabilities are we looking for?

In regards to technology religion, we are what you call “agnostic,” meaning we act as an objective technology partner, only implementing tailored and best-fit solutions for our clients.

However, we often work with Microsoft, Qlik, Snowflake, dbt, and AWS, so experience with one or more of these technologies is a prerequisite. We also realize that few people are experts at everything. But if you can nod your head at some of the following attributes, then you could be the person we are looking for:

• Proven track record and strong competencies with setting up Microsoft Azure or AWS services in the cloud, incl. experience within Data Factory, Databricks, PySpark, Python, and SQL.
• Desire to quickly learn new and apply tools are essential – we need to constantly be on top of the best and most popular technologies on the market.
• Call it agile, or just call it common sense. But we work in sprints, and we often use Azure DevOps to manage projects.
• Energetic, passionate, and ambitious personality. With a drive to challenge the status quo within data & analytics.
• Strong collaboration skills. You will work closely together with less technical people than yourself. You need to convince them that you know better.
• Relevant academic background (Software development, IT, Economics). Or maybe you learned everything on your own. If that is the case, forget what we said about academic background.