Orange Polska

Távmunka

1.5M – 1.8M HUF vállalkozói havonta+ÁFA / 1.2M – 1.5M HUF alkalmazotti havi bruttó

Elvárások

• Data engineering
• Python
• SQL
• Git
• Angol
• Lengyel

Előnyt jelentő készségek

• Spark
• Google cloud platform
• NoSQL
• Linux

A mi követelményeink

Required:

• Ability to work with large amounts of data in an operational environment
• Experience in data engineering for AI/ML solutions hosted on-prem
• Experience in Data Warehousing and Business Intelligence
• Good knowledge of Python language, libraries and frameworks for data processing (preferred Spark)
• Practical knowledge of programming environments for data analysis and Big Data technologies
• Good knowledge of SQL databases
• Experience in working with Git version control system
• Knowledge of English and Polish at a level allowing for fluent communication and preparation of technical documentation

Nice to have:

• Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related
• Experience working with Linux
• Knowledge about noSQL
• Experience with cloud-hosted DE/AI/ML solutions (preferred GCP)

Pozíció / projekt rövid leírása

As a Data Engineer at Orange you will join a dedicated team of 30 experts working on a variety of projects supporting our branches in Poland and other European countries. We are looking for a team player with great communication skills, unafraid to share their opinions and able to organise their work well. Good ability to communicate, consult with and support the Business teams is what will make you stand out as a candidate.

This position offers a hybrid or remote (from Poland) work models and involves some international business trips.

Napi feladatok

1. Design, development and optimization of data models
2. Building and maintaining databases, data warehouses, data processing and storage systems
3. Creating and managing ETL/ELT processes
4. Cleaning, transforming and processing data to ensure its quality, consistency and compliance with business requirements
5. Creating scripts and procedures to automate processes
6. Testing data quality
7. Working with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time
8. Developing and maintaining documentation on data infrastructure, ETL/ELT processes, database schemas and other aspects related to data management.
9. Working with partners from other countries
10. Occasional business travel to other countries

Specifikációk

• Online állásinterjú
• Toborzás nyelvei: angol
• Azonnali kezdés
• Határozatlan idejű szerződés
• Távmunka
• Kevés utazással jár

Extrák

• Sportcsomag
• Képzési költségvetés
• Magánegészségügyi ellátás
• Nemzetközi projektek

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