Budapest, Budapest, Hungary
15 days ago
Analytics Engineer

Join our Solution Test & Release (ST&R) team as an Analytics Engineer! 
We develop advanced analytics and automation tools that enhance feedback loops to design, simplify complex testing environments, and bring innovative ideas to life. 

In our IMS Network System Test (NWST) team, you'll help shape the quality of cloud-native IMS solutions by building frameworks that support system testing, data analysis, and visualization. We're working with modern technologies and exploring AI/ML to drive innovation and support CI/CD use cases across the organization. 

 

What you will do: 

Develop the DA Architecture and evolve it to meet future use cases 

Develop DA/ML applications on top of the DA architecture to support various use cases supporting system testing of CN IMS 

Close cooperation and understanding of project and verification team needs 

Follow and contribute in Ericsson DA/ML/AI programs 

 

The skills you bring: 

A Bachelor’ degree in Computer Science, or equivalent experience, skilled in GNU/Linux 

Experience in scripting and programming with main development language Java and preferably Python 

Managing code in compilation, review and repository tools (Git, Gerrit, Maven) 

Docker, Kubernetes, Kustomize and Microservice architecture experience 

Strong technical knowledge and background in Analytics domain covering Databases, SQL, Big Data, Data Engineering and Data Science 

Hands-on experience with data management technologies (e.g. Prometheus, Mimir, Clickhouse, ElasticSearch) 

IP/Networking knowledge and IMS signaling experience and troubleshooting of networking and applications 

Hands-on experience of larger implementation (e.g. Spark, Zeppelin, Grafana) 

Architecture of message buses using Kafka 

Collaborative team player, able to work across geographies and cultures as well as across organizations and passion for innovation, technology and simplification 

Customer focus 

Fluent in English (spoken and written) 

 

Nice to have 

Experience working with Telecom-generated data (e.g. PM, FM, CM, logging, traces, subscriber-base events) 

Knowledge around Data Preparation processes for further statistical modeling and ML Algorithms training 

Knowledge of Ericsson products and solutions in DA area like ADP is preferred 

 

What we offer 

Salary package: 

Cafeteria fringe benefits (yearly amount of gross 840,000 HUF) 

Annual bonus 

Benefits after life events (eg.: childbirth) 

Other 

Employee Assistance Program 

Life and accident insurance 

Wellbeing activities 

Company share purchase plan 

Referral program 

All You Can Move partner 

Learning & development 

Continuous learning through trainings, workshops, and conferences 

Internal and external learning & development opportunities 

Language courses 

Facilities: 

Modern office in the 11th district 

Hybrid working based on our current Home Office Policy 

Laptop and mobile phone 

Free parking in the secured company underground garage 

Bicycle storage, showers and lockers 

 

 

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: 769794 

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