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About this opportunity:
We are seeking a pragmatic, analytically minded software engineer to build advanced decision‑support applications on a leading enterprise analytics platform. You will focus on the scripting, integration and architecture layers that make interactive analytics possible. You will bridge complex backend logic and interactive frontends, extending the analytics platform with custom code and microservices to deliver actionable, production‑grade experiences for end users.
What you will do:
- Design and implement robust business logic and automation using Python — both as scripts inside the analytics platform and in supporting microservices.
- Develop custom frontend components and integrate them into the analytics interface using Angular and modern web technologies (HTML, JavaScript/TypeScript).
- Engineer the communication layer between the HTML frontend and the application’s internal state (Document Properties), enabling advanced interactivity beyond standard visualizations.
- Master and extend the analytics platform API to automate workflows and create bespoke functionality tailored to business needs.
- Collaborate closely with product owners, data stakeholders and suppliers to translate complex business problems into structured data workflows and software features.
- Participate in code reviews, CI/CD pipelines, and platform automation to ensure reliable, maintainable production deployments.
- Work within a small scrum team to deliver, maintain and evolve dashboards and interactive interfaces used directly by customers.
The skills you bring:
- Strong command of Python for scripting, automation, data manipulation and service‑side logic.
- Practical experience with Angular and core web technologies: HTML, JavaScript/TypeScript.
- An analytical mindset: ability to understand abstract business problems and translate them into logical, data‑driven solutions.
- Comfortable working within a specialized analytics platform and extending its capabilities via code rather than only configuration.
- Solid working knowledge of Linux.
- Familiarity with cloud‑native technologies and containerization (Docker, Kubernetes).
- Proficiency using AI tools (for development assistance, automation, or analytics workflows).
- A determined, solution‑oriented attitude and the ability to collaborate effectively in a team.
- Strong communication skills in English and readiness to engage with international suppliers and stakeholders.
- Openness to new challenges and continuous learning.
It is an advantage if you have:
- Previous exposure to data visualization libraries or concepts (for example D3, Plotly, Highcharts).
- Experience with .NET‑integrated Python environments (e.g., Iron Python) or working knowledge of .NET interoperability.
- Practical experience in Agile/Scrum environments.
- Familiarity with tools and workflows such as JIRA, Git/Gerrit and AWS (or similar cloud platforms).
- Prior experience building integrations between frontend state and backend analytics document models.
**Why join Ericsson?**At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
**What happens once you apply?**Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Hungary (HU) || Budapest
Req ID: 780885
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About Ericsson
Reviews
3.6
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
2.0
Management
2.5
55%
Recommend to a Friend
Pros
Contracts with major companies like Google and Amazon
Association with well-known tech companies
Exposure to large enterprise clients
Cons
Excessive responsibilities for internship positions
Unrealistic expectations for entry-level roles
Poor job role definition
Salary Ranges
80 data points
Junior/L3
Junior/L3 · Business Analyst
0 reports
$58,232
total / year
Base
-
Stock
-
Bonus
-
$49,497
$66,967
Interview Experience
7 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
14%
Interview Process
1
Interview
2
Technical Interview
3
Coding Test
Common Questions
Technical Interview
Coding Test
General Interview
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