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Orange Polska

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Data Engineer

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Summary

Data engineer on Orange's Innovation Team building scalable data frameworks for network-investment and AI projects: designing data models, running ETL/ELT pipelines, maintaining databases and warehouses, and writing Python backend APIs. Core stack: Python, SQL, GCP, Kubeflow, Terraform.

About The Job:

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

Responsibilities:

  • Design, development and optimization of data models.

  • Building and maintaining databases, data warehouses, and data processing and storage systems.

  • Creating and managing ETL/ELT processes.

  • Cleaning, transforming and processing data to ensure its quality, consistency and compliance with business requirements.

  • Creating scripts and procedures to automate processes.

  • Testing data quality.

  • Work with analytics and business teams to understand requirements, develop appropriate solutions, 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 aspects related to data management.

  • Work with partners from other countries.

  • Travel to other countries.

  • Backend development, writing data integrations, APIs (Python).

  • Proved experience in data integration and orchestrating processes in Python.

Requirements:

  • Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related.

  • Ability to work with large amounts of data in an operational environment.

  • Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP).

  • Experience in Data Warehousing and Business Intelligence.

  • Good knowledge of common Python libraries and frameworks (Pandas, FastAPI, kubeflow pipelines, GCP libraries).

  • Good knowledge of SQL databases, knowledge about noSQL would be an asset.

  • Experience in working with Linux and Git version control system (GitLab).

  • Knowledge of English at a level allowing for communication and preparation of technical documentation.

  • Practical knowledge of implementing cloud infrastructure (Terraform).

What We Offer:

  • Stable employment based on an employment contract.

  • Hybrid work model (2 days from the office / 3 days from home).

  • Pension program – after 6 months of employment, Orange will contribute 7% of your gross salary each month to your retirement account.

  • Private medical care with PZU Zdrowie.

  • Interest-free loans for housing, health, and other purposes.

  • Subsidy for vacation.

  • FitProfit sports card.

  • Integration events and trips co-financed from the social fund.

  • Option to join group insurance on preferential terms.

  • Smartphone with unlimited Internet – also for private use.

  • Preferential offer for Orange services.

  • Diverse and tailored development opportunities – training, access to educational platforms (including language learning platforms), internal internship programs, and inspiring educational events.

  • “Health YES” – a program for people with disabilities.

  • “I’m in the game” – support for parents returning to work after parental leave

  • Wellbeing programs.

  • Volunteering in cooperation with the Orange Foundation.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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