
Telecommunications equipment company
Data Engineer
必須スキル
Python
AWS
Kubernetes
Go
Linux
Grow with us
About this opportunity:
MINI-LINK is a well-known trademark of Ericsson’s microwave transport solution within the radio system with more than 5 million sold units. MINI-LINK is a scalable, flexible, modular and robust microwave transmission system used primarily in mobile networks, supporting both TDM and Ethernet traffic.
Microwave Unit within Ericsson Hungary R&D is looking for an AI/Data Engineer. We are building an AI platform that enables teams across Microwave (~400 people) to develop, deploy, and run AI applications as part of their everyday work. The goal is simple: remove friction, lower the barrier of entry, and make AI capabilities accessible at scale.
Ericsson Hungary does not provide relocation support or sponsor HU work authorizations for this position.What you will do:
- Develop and operate the compute and data infrastructure, internal AI application platforms, and integration layers (such as APIs) that power this initiative
- Work closely with experts across infrastructure, data, and AI domains to shape solutions and ensure the platform meets real-world needs.
- Help engineers, developers, and domain experts across Microwave to work more efficiently, increase productivity, and leverage AI capabilities in their daily workflows, while the platform handles scalability, reliability, and operational complexity
- Help turn AI from isolated experiments into capabilities that deliver measurable impact across the organization.
The skills you bring:
- Software engineering background
- Hands-on experience with Linux-based environments
- DevOps mindset (focused on automation, reliability, and scalable platform engineering)
- You should have experience with, or a strong interest in learning the following or comparable competences:Python, Linux
- Kubernetes, AWS, Helm
- DevOps practices, containerization technologies
- API development and integration
- AI Platforms (e.g. Amazon Bedrock, Flowise, Dify)
- AI Agent Frameworks (e.g. Lang Chain)
- Data Engineering and Databases
- Not fazed by complex and complicated problems
- Not afraid of going outside your comfort zone by reaching out to new people
- Service minded and a good communicator (in English)
- Passionate about learning and exploring new things
**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: 780630
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Ericssonについて

Ericsson
PublicAn information and communications technology company that offers network services
10,001+
従業員数
Kista
本社所在地
$21.5B
企業価値
レビュー
22件のレビュー
3.9
22件のレビュー
ワークライフバランス
3.8
報酬
2.5
企業文化
3.2
キャリア
3.4
経営陣
3.1
65%
知人への推奨率
良い点
Good work-life balance and flexible hours
Supportive colleagues and teamwork
Learning opportunities and innovative projects
改善点
Low compensation and salary concerns
Slow career progression and limited growth
Management transparency and leadership issues
給与レンジ
97件のデータ
Junior/L3
Junior/L3 · Business Analyst
0件のレポート
$58,232
年収総額
基本給
-
ストック
-
ボーナス
-
$49,497
$66,967
面接レビュー
レビュー9件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
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