Data Engineer
Budapest
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingWrite, test, and maintain high-quality Python code
Assist in building data pipelines
Create new benchmarking graphs
Cooperate with data scientists and data engineers on their needs
From the employer’s posting
Write, test, and maintain high-quality code in Python
Assist in building data pipelines and create new benchmarking graphs.
create new benchmarking graphs
Cooperate with data scientists and data engineers to understand their current needs.
What you’ll bring
All qualificationsCore experience
- Experience in Python and scripting
- Knowledge of Spark, Pandas, Airflow
- Familiarity with data warehousing, pipelines, microservices/cloud, Git, Linux, CI, unit testing
- English proficiency, written and spoken
- BSc or MSc in Computer Science, Electrical Engineering, or equivalent
Qualification wording
Experience in Python and scripting
Knowledge of Spark, Pandas, Airflow
Familiarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing
English proficiency, both written and spoken
BSc or MSc Degree in Computer Science, Electrical Engineering, or an equivalent
Education & alternatives
The skills you bring: * High interest in big data, data engineering and visualization * Experience in Python and scripting * Knowledge of Spark, Pandas, Airflow * Familiarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing * Familiarity with the agile way of working * An open and innovative mindset that adapts to changes easily * English proficiency, both written and spoken * BSc or MSc Degree in Computer Science, Electrical Engineering, or an equivalent It's a huge plus if you have experience with:
Tools in this posting
- Python
- AWS
- Docker
- Kubernetes
- MySQL
- Power BI
- S3
- Spark
- Airflow
- pandas
Source — Tool mentions in context
What you will do: * Write, test, and maintain high-quality code in Python * Assist in building data pipelines and create new benchmarking graphs. * Cooperate with data scientists and data engineers to understand their current needs. The skills you bring:
The skills you bring: * High interest in big data, data engineering and visualization * Experience in Python and scripting * Knowledge of Spark, Pandas, Airflow * Familiarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing * Familiarity with the agile way of working * An open and innovative mindset that adapts to changes easily * English proficiency, both written and spoken * BSc or MSc Degree in Computer Science, Electrical Engineering, or an equivalent It's a huge plus if you have experience with:
It's a huge plus if you have experience with: * Knowledge of frameworks and applications: Spark, PowerBI, Kubernetes/Docker, AWS S3, MySQL * Previous experience with data monitoring systems 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.
About Ericsson
Here at Data & AI Foundation, we collect, invest, and archive vast amounts of data from Ericsson's customers all over the world.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Aug 14, 2026 · 78 days ago
- Recorded sightings
- 241
- Last seen by us
- Oct 31, 2026
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Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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- Pay
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- Location & working pattern
Budapest
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