Senior Data Engineer

Data EngineerSeniorHibridAlkalmazottTeljes munkaidő
Magyarország EricssonNem szükséges végzettség

Feladat

We are looking for a Senior Data Engineer to join our Data Exploration Service (DES) team, a platform that enables internal users to explore, process, analyze and leverage large-scale data using JupyterLab, Apache Spark and modern data engineering technologies.

In this role you will contribute to the development and operation of a cloud-native data platform running on Kubernetes-based on-premises infrastructure, while also supporting initiatives in AWS, Snowflake and cloud-based data exploration environments. You will have opportunities to contribute to AI and GenAI-related initiatives, including the development and integration of AI-powered assistants and agents.

What you will do:

  • Develop and maintain data platform capabilities and services
  • Support Spark-based data processing and analytics workloads
  • Work with Kubernetes, containerized applications and platform automation
  • Improve platform reliability, scalability and user experience
  • Collaborate with data scientists, engineers and platform teams
  • Contribute to cloud data initiatives involving AWS and Snowflake
  • Support AI/GenAI use cases, agent development and data platform integrations for AI workloads

Stack

PythonSparkKubernetesDockerAWS

Elvárások

The skills you bring:

  • Strong experience with Python and Apache Spark
  • Experience with Kubernetes, Docker and Linux environments
  • Understanding of data engineering principles and distributed systems
  • Familiarity with cloud platforms, preferably AWS
  • Interest in AI, machine learning or Generative AI technologies
  • Experience working with modern data platforms and analytics ecosystems

Soft Skillek

Analitikus gondolkodásProblémamegoldásCsapatmunkaÖnállóság

Mit adunk

Salary package:

  • Cafeteria fringe benefits (yearly amount of gross 840,000 HUF)
  • Annual bonus
  • Benefits after life events (e.g. 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

Extrák

CafeteriaHome office lehetőségRugalmas munkaidőAYCMKonferenciák, workshopokNyelvtanfolyam támogatás

Munkáltatóról

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.

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.

Munkavégzés formája
Alkalmazott
Munkaidő
Teljes munkaidő
Munkavégzés módja
Hibrid
Munkavégzés helye
Budapest

Jelentkezés

Ericsson Hungary does not provide relocation support or sponsor HU work authorizations for this position.

Jelentkezem

További releváns álláshirdetések

Senior Data Engineer (PySpark)
Data Engineer·Senior
Spark
HibridTeljes munkaidő
Data Software Engineer
Data Engineer·Medior
AWSDockerKubernetes
HibridTeljes munkaidő
Lead Azure Data Engineer
Data Engineer·Lead
HibridTeljes munkaidő
Senior Azure Data Engineer
Data Engineer·Senior
HibridTeljes munkaidő
Senior Data Integration Engineer
Data Engineer·Senior
HibridTeljes munkaidő
Palantir Data Engineer
Data Engineer·Senior
PythonTypeScriptSparkPower BI
HibridTeljes munkaidő
Adattárházi rendszerszervező
Data Engineer·Medior
HibridTeljes munkaidő
Senior Process Mining Developer
Data Engineer·Senior
PythonGit
HibridTeljes munkaidő
Senior Process Mining Developer
Data Engineer·Senior
PythonGit
HibridTeljes munkaidő
Senior Process Mining Developer
Data Engineer·Senior
PythonGit
HibridTeljes munkaidő
Process Mining Developer
Data Engineer·Medior
PythonGit
HibridTeljes munkaidő
Process Mining Developer
Data Engineer·Medior
PythonGit
HibridTeljes munkaidő
Process Mining Developer
Data Engineer·Medior
PythonGit
HibridTeljes munkaidő
Enterprise Data Product - Data Engineer
Data Engineer·Medior
PythonSparkAzurePandasNumPy
HibridTeljes munkaidő
Enterprise Data Product - Data Engineer
Data Engineer·Medior
PythonSparkAzurePandasNumPy
HibridTeljes munkaidő
Enterprise Data Product - Data Engineer
Data Engineer·Medior
PythonSparkAzurePandasNumPy
HibridTeljes munkaidő
Data Engineer
Data Engineer·Senior
PythonScalaAzureSparkMicrosoft SQL Server
HibridTeljes munkaidő
Data Engineer
Data Engineer·Senior
PythonScalaAzureSparkMicrosoft SQL Server
HibridTeljes munkaidő
Data Engineer
Data Engineer·Senior
PythonScalaAzureSparkMicrosoft SQL Server
HibridTeljes munkaidő
Senior Data Engineer | Bérfigyelő