Senior Data Engineer

Posted Yesterday
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Budapest, HUN
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
We are shaping the future of digital connectivity the world relies on.
The Role
Design, build, and operate a cloud-native data platform on Kubernetes; support Spark-based processing, platform reliability, AWS and Snowflake integrations, and AI/GenAI initiatives while collaborating with data scientists and engineers.
Summary Generated by Built In
Join our Team
About this opportunity:
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:
  • Developing and maintaining data platform capabilities and services
  • Supporting Spark-based data processing and analytics workloads
  • Working with Kubernetes, containerized applications, and platform automation
  • Improving platform reliability, scalability, and user experience
  • Collaborating with data scientists, engineers, and platform teams
  • Contributing to cloud data initiatives involving AWS and Snowflake
  • Supporting AI/GenAI use cases, agent development, and data platform integrations for AI workloads

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

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: 786038

Skills Required

  • 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
  • Experience supporting Spark-based data processing and analytics workloads

What the Team is Saying

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The Company
HQ: Stockholm
88,000 Employees
Year Founded: 1876

What We Do

Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.

Why Work With Us

Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.

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Employees engage in a combination of remote and on-site work.

Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.

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