Data Engineer

Budapest

Actively hiring, first seen by us today

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 posting

In this role, you will collaborate with both local experts and international colleagues to build unified, high-performance data pipeline solutions.

From the employer’s posting

The project or topic you would work on: You will join an international team of data professionals working across multiple countries within Telekom organization. In this role, you will collaborate with both local experts and international colleagues to build unified, high-performance data pipeline solutions. We are looking for a Data Engineer who enjoys solving complex integration challenges and wants to have a real impact on how our organization uses data globally. What tasks await you?

Education & alternatives

It’s an advantage if you have: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field - Experience with data lake and lakehouse technologies (e.g. Delta Lake, Apache Iceberg, Hive, S3)

Apply at Deutsche Telekom

Posting record

Report an error

Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 4, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Deutsche Telekom is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
ClickHouse
Delta Lake
GCP
Hive
Iceberg
Kafka
S3
Spark
Trino
Airflow
PySpark

Where the posting names them

- Design, develop, and maintain data ingestion and processing pipelines across different data platforms - Develop and optimize batch and streaming data pipelines using Python, SQL, and distributed processing technologies - Integrate data from various source systems, including databases, APIs, Kafka, SFTP, and file-based sources

- Minimum 3 years of experience in a Data Engineering role - Strong Python programming skills and advanced SQL knowledge - Hands-on experience with Apache Spark (PySpark) or similar distributed data processing frameworks

- Experience with data lake and lakehouse technologies (e.g. Delta Lake, Apache Iceberg, Hive, S3) - Knowledge of distributed SQL query engines (e.g. Trino) and analytical databases (e.g. ClickHouse) - Strong understanding of data governance principles, including metadata management and data quality frameworks

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field - Experience with data lake and lakehouse technologies (e.g. Delta Lake, Apache Iceberg, Hive, S3) - Knowledge of distributed SQL query engines (e.g. Trino) and analytical databases (e.g. ClickHouse)

- Strong understanding of data governance principles, including metadata management and data quality frameworks - Experience with cloud data platforms (GCP preferred) - Knowledge of streaming and data ingestion technologies (e.g. Kafka, Apache NiFi, Flink)

- Develop and optimize batch and streaming data pipelines using Python, SQL, and distributed processing technologies - Integrate data from various source systems, including databases, APIs, Kafka, SFTP, and file-based sources - Build and maintain reusable components and frameworks for data pipeline development

- Experience with cloud data platforms (GCP preferred) - Knowledge of streaming and data ingestion technologies (e.g. Kafka, Apache NiFi, Flink) - Familiar with Data Mesh and Data Product concepts

- Strong Python programming skills and advanced SQL knowledge - Hands-on experience with Apache Spark (PySpark) or similar distributed data processing frameworks - Experience in designing, developing, and maintaining ETL/ELT pipelines

- Experience in designing, developing, and maintaining ETL/ELT pipelines - Experience with workflow orchestration tools (e.g. Apache Airflow) - Good understanding of data lakes, data warehouses, and common data storage formats

Upload resume Add LinkedIn

Your next step

Complete your application on telekom-growthhub.eightfold.ai. The employer’s form will show what is required.

Applying through Eightfold

You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.

Already applied? Track this application

Has Deutsche Telekom posted this job before?

Yes. We’ve followed one other Data Engineer job there since November 2026. It is still up.

Place not statedStill up after 0 days, first seen Nov 4
This jobUp 0 days so far, first seen Nov 4

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

The project or topic you would work on:

You will join an international team of data professionals working across multiple countries within Telekom organization. In this role, you will collaborate with both local experts and international colleagues to build unified, high-performance data pipeline solutions. We are looking for a Data Engineer who enjoys solving complex integration challenges and wants to have a real impact on how our organization uses data globally.

What tasks await you?

Design, develop, and maintain data ingestion and processing pipelines across different data platforms
Develop and optimize batch and streaming data pipelines using Python, SQL, and distributed processing technologies
Integrate data from various source systems, including databases, APIs, Kafka, SFTP, and file-based sources
Build and maintain reusable components and frameworks for data pipeline development
Implement automated testing, data quality checks, and monitoring for data pipelines
Troubleshoot pipeline issues and optimize data processing performance
Collaborate with local Data Engineering teams, data scientists, and subject-matter experts across multiple countries

You are the ideal candidate, if you have:

Minimum 3 years of experience in a Data Engineering role
Strong Python programming skills and advanced SQL knowledge
Hands-on experience with Apache Spark (PySpark) or similar distributed data processing frameworks
Experience in designing, developing, and maintaining ETL/ELT pipelines
Experience with workflow orchestration tools (e.g. Apache Airflow)
Good understanding of data lakes, data warehouses, and common data storage formats
Experience integrating data from different sources, including relational databases, APIs, and file-based systems
Experience with Git and version control practices
Strong problem-solving skills and ability to work independently and collaborate with international teams
Fluent English, both written and spoken

It’s an advantage if you have:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field
Experience with data lake and lakehouse technologies (e.g. Delta Lake, Apache Iceberg, Hive, S3)
Knowledge of distributed SQL query engines (e.g. Trino) and analytical databases (e.g. ClickHouse)
Strong understanding of data governance principles, including metadata management and data quality frameworks
Experience with cloud data platforms (GCP preferred)
Knowledge of streaming and data ingestion technologies (e.g. Kafka, Apache NiFi, Flink)
Familiar with Data Mesh and Data Product concepts
Experience in international or multi-country data projects
TELCO technical knowledge

Benefits:

HUF 700,000 gross pro-rata cafeteria budget
HUF 45,000 / month gross telecommunications services discount which you may apply to Telekom services you or a close family member of yours subscribe to.
Flexible working hours with partial home office options.
Comprehensive benefits package (laptop, mobile phone, cafeteria, insurance).Employee discount rates on Telekom services.
Modern, multinational working environment with amenities like a sky bar and rooftop gym.
Access to our Employee Assistance Program.
Comprehensive Healthcare Package
You will receive a minimum of 25 days of basic vacation per year (based on age)
We offer 15 days of additional vacation if you become a father, with 100% pay
You'll have access to thousands of professional and skills development materials from our extensive digital training palette
We offer regular internal training sessions and workshops
You can learn English and German, even with a native speaker
You’ll have access to Percipio and Coursera courses

When:

Whenever you can join us!

Where:

Flexible, hybrid working method (3 days from home and 2 days from Magyar Telekom HQ)

Source details