Data Engineer

Sweden | Aug. 24, 2026

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Company: Ericsson AB

Country: Sweden

Type: Onsite

Employment: Full-time

Description: Company description:

Ericsson AB

Job description:   Join our Team  

About this opportunity:

  





Are you early in your career and interested in turning data into solutions that make a real difference?



We are looking for a Data Engineer to join our Data & AI organization at Ericsson. You will become part of a collaborative team of 6–7 engineers working with data solutions that support Ericsson’s R&D organization. This is an opportunity to develop your skills while working with Python, modern data technologies and large-scale engineering challenges – with experienced colleagues around you and plenty of room to grow.





  

What you will do:

  

As a Data Engineer, you will help make data accessible, reliable and useful. Your work will contribute to the data foundation behind analytics, automation and increasingly AI-based solutions across Ericsson.







Your typical week could include:




    Developing data pipelines, services and data products using Python
    Working with large and complex datasets
    Integrating data from different systems and sources
    Improving data quality, reliability and performance
    Testing your solutions and participating in code reviews
    Solving technical problems together with your team
    Learning new technologies and sharing knowledge with colleagues  







You will get real development tasks from the start, with support from more experienced engineers as you grow into the role.





  

The skills you bring:

  


    A degree in Computer Science, Software Engineering, Data Engineering or a related field
    Good fundamentals in Python
    Basic knowledge of SQL and working with data
    An understanding of software engineering principles and Git
    A curious and analytical approach to solving problems
    A willingness to learn and develop
    The ability to collaborate and contribute as part of a team  







Experience with data pipelines, cloud technologies, CI/CD, APIs, containers or technologies such as Spark is valuable, but not required. Relevant university projects, thesis work, internships or personal projects absolutely count.

Apply here:

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