Data Engineer

We work with data science, control systems and software development. Our assignments contain challenges at the highest technical level and in our engineers you’ll find analytical minds, inventive souls and a can-do attitude.

What drives us is a passion for technology and a genuine commitment to people. This is manifested in our open-minded atmosphere, informal culture, and that we prioritize skills above background.

We are located in Gothenburg (HQ), Lund, Linköping and Stockholm. www.combine.se

Combine is a leading supplier of high-quality engineering services within Data Science, Software development and Control Systems. We help our customers bring their products to the market on time, at a predictable cost and with high quality.
We are now looking for data engineers to strengthen our Data Science team. We offer varied challenges at the bleeding edge of technology, an inspiring working environment and enthusiastic colleagues. We have offices in Gothenburg, Lund and Linköping.

Areas of Interest
Data Engineering, Cloud Infrastructure, AWS, Azure, Google Cloud, Machine Learning, Visualization, Databases, Data science, data analysis, quantitative methods, computing, applied statistics, applied mathematics.

Job summary
The Data Science team at Combine works with clients from a wide range of industries and sectors. The projects vary from supporting the customer's first steps into connectivity and IoT to create Machine Learning models on large data sets. Common for all projects is that data is central and needs to be handled in the most efficient way. This is why the Data/Cloud Engineer becomes a crucial part of all projects. Your tasks will be to solve all data-related questions, regardless if it is to implement solutions in our big data framework running on our powerful computational server or if it is to specify the most suitable database implementation in a cloud solution. Good proficiency with tools and frameworks around containers, such as Kubernetes, will also be valuable in this role.

Data nowadays can be found on all kinds of formats and be stored in different ways. It can be streaming or offline. The needs of a client may have been satisfied by optimising how your programs process the data, they may have pushed the envelope of what can be accomplished by CPUs, possibly making this engineer look into GPUs. This engineer is responsible for providing quality data over which data analysis and data science can be applied.

Must-have qualifications
M.Sc. in engineering with a focus on one or more of the following disciplines; computer science, statistics, mathematics, applied physics, mechatronics, electrical/electronic/nuclear engineering.
Experience in Python or R.
Experience in building cloud solutions.
Experience in working with data and database.
Fluent English.

Nice-to-have
Machine Learning.
Visualisation.
Dashboards.
Customer-oriented experience.
Experience with community projects (Github, CRAN, StackExchange community, etc).

The Attitude
You like having fun!
You respect and trust your team as much as your own knowledge.
You shoot for the stars, yet can gracefully land on the moon if needed.
You learn on your own, yet you ask for help when you need to.
You don't take all statements for facts: when reason exists, you verify ground truths and communicate your findings to those concerned.

This position can be located in eitherGothenburg or Lund.

Contact
Benedikt Ziegler
Group Manager – Data Science & AI Solutions
Gothenburg
+46 73-074 04 01‬

Welcome with your application!