Data Engineer

Orange

HybridPosted July 29, 2026

About the role

Data Engineer Warsaw, Poland (Hybrid)

Join Orange Innovation Team, where we lead cutting-edge data and AI projects across Europe. As a key contributor, you will help design scalable data frameworks for network investments and AI solutions, working with large-scale data environments. This role offers an opportunity to develop your skills in a collaborative, international setting with training and growth opportunities.

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Data Engineer

Orange

HybridPosted July 29, 2026

About the role

Data Engineer Warsaw, Poland (Hybrid)

Join Orange Innovation Team, where we lead cutting-edge data and AI projects across Europe. As a key contributor, you will help design scalable data frameworks for network investments and AI solutions, working with large-scale data environments. This role offers an opportunity to develop your skills in a collaborative, international setting with training and growth opportunities.

JobMatcher

EN RU

Sign In Sign up Get My Matches — Free

JobMatcher

EN RU

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Responsibilities

Design, develop, and optimize data models.
Build and maintain databases, data warehouses, and data processing and storage systems.
Create and manage ETL/ELT processes.
Clean, transform, and process data to ensure quality, consistency and compliance with business requirements.
Create scripts and procedures to automate processes.
Test data quality.
Collaborate with analytics and business teams to understand requirements and deliver data in the right format and at the right time.
Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas, and other data management aspects.
Work with partners from other countries; travel to other countries.

Requirements

Higher education in Computer Science, Mathematics/Statistics, Telecommunications or related field.
Ability to work with large data volumes in an operational environment.
Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (GCP preferred).
Experience in Data Warehousing and Business Intelligence.
Strong knowledge of Python libraries and frameworks (Pandas, FastAPI, Kubeflow Pipelines, GCP libraries).
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Responsibilities

Design, develop, and optimize data models.
Build and maintain databases, data warehouses, and data processing and storage systems.
Create and manage ETL/ELT processes.
Clean, transform, and process data to ensure quality, consistency and compliance with business requirements.
Create scripts and procedures to automate processes.
Test data quality.
Collaborate with analytics and business teams to understand requirements and deliver data in the right format and at the right time.
Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas, and other data management aspects.
Work with partners from other countries; travel to other countries.

Requirements

Higher education in Computer Science, Mathematics/Statistics, Telecommunications or related field.
Ability to work with large data volumes in an operational environment.
Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (GCP preferred).
Experience in Data Warehousing and Business Intelligence.
Strong knowledge of Python libraries and frameworks (Pandas, FastAPI, Kubeflow Pipelines, GCP libraries).
-

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Get email alerts when new roles like this are posted.

Based on: Data Engineer

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More in Engineering

Product Fintech SaaS Remote-first Berlin