Senior Data Engineer to Ericsson

Stockholm Headhunting has been commissioned to find a Senior Data Engineer to Ericsson. Here you will enroll with the data science team behind the Global AI Accelerator, creating the future Artificial Intelligence and Machine Learning solutions for the 5G-net as it deploys to ensure connectivity and mobile traffic for more than 40% of the world.

GAIA and the smart future of telecom
The Global AI Accelerator is an international department initiated by Ericsson to act as game changer in the way we perceive mobile traffic. With the deployment of the new 5G net, it will be practically impossible for the human brain to understand how to run and optimize this next level of a network. It demands Machine Learning and Artificial Intelligence technologies to be handled and fully utilized. Hence the aim of GAIA is to fast-track the strategy and adoption of Machine Learning and Artificial Intelligence within all the different product fields of the Ericsson portfolio to let these technologies permeate the next generation of digital connectivity all over the globe. Read more about the Ericsson portfolio here: https://www.ericsson.com/en/portfolio

As of today, the team is made up of 300 experts within data science and data engineering, located in the US, Sweden, and India. The team works closely with domain experts, researchers, product managers in all areas of Ericsson to solve some of the most challenging problems in the areas in the telecom domain touching the lives of billions of people.

Machine learning and Artificial Intelligence at Ericsson
As Data Engineer at the GAIA team, you will be evolving and optimizing the data pipeline architecture, optimizing data flow and data collection for different cross-functional teams. You will act as support for software developers, database architects, data analysts and data scientists on data initiatives and will ensure streamlined clean data consistently throughout ongoing projects. The chance of re-designing the company’s dataOps architecture to support the existing and next generation of MI-driven products and solutions initiatives is also one of the tasks at the table.

Who we think you are
To be a contributing player in this team of experts you probably have an academic degree in Computer Science, Informatics, Information Systems or another related field followed by around 5 years of relevant working experience in Data Engineering. You are well versed with tools/software for big data processing such as Hadoop or Spark and skilled with object-oriented/object function scripting languages: Python, Java, C++ or Scala. Besides this, you have probably worked with Docker containers and Kubernetes orchestration in a cloud-native environment. Besides technical skills, you are a driven team player with a strong ability to think critically and creatively.

Apply here
Does this sound like your next step? Apply through the link below as soon as possible as selection takes place continously. If you have any questions about GAIA or the role, do not hesitate to contact Martin Selin at martin@sthlmhh.se or at +46 (0)709 39 24 00.