Data Engineer with Azure for AI Squad

What will be your key responsibilities:

Join our new squad as a Data Engineer and be indispensable part of our team working on a new AI application with Azure and GPT!


Main Responsibilities:


Retrieves data from NN’s data sources, clean the data and make it available to the data-scientists

Knows and understands the ''common data model'' and implements the data model in the BUs on use-case basis

Maps the data flow from different data sources and pushes clean data to a DB/DWH on Cloud (Azure) in accordance with common data model

Sets up monitors for data quality and availability per use-case on BU side

Supports data scientists during data preparation stage with data transformation and code optimization.

Knows the way around in NN’s data-landscape and is able to connect to most important data-related people to get things done.

Develops and maintain the data infrastructure and architecture for the DS Hub

Creates and maintains documentation related to his / her work.


What experience should you have:

What skills and knowledge should you posses



Knowledge of the most common data management and extraction tools and code (e.g. SQL/python/SSIS) and experience in setting up and maintaining an SQL DB/DW in MS Azure


Experience in extracting different types of data sources (structured, semi structured, unstructured and streaming data)


Ability to design efficient data exchange architecture and processes and ability to build advanced database structures, datamarts and reports


Knowledge of Databricks and PySpark - knowledge how to use them to develop and deploy data analytical solutions.


Familiarity with data engineering frameworks and tools such as Apache Spark, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, etc.


Ability to connect to fully technical people a well as business people


Knows GDPR regulation



What do you get in return:

What can we offer




Home office, 5 weeks of vacation, and 5 annual Well-being days



3% employer supplemental pension monthly contribution



Unlimited budget for your education (hard and soft skills, Language courses)



Meal contribution, Cafeteria program, monthly home office allowance



Multisport card, partnership with various companies (Makro, Datart, Sony, Electrolux…)



iPhone 11, personal Office 365 License, O2 Family discounts



Volunteering days to support our community



Employee referral bonuses to encourage the addition of great new people to the team



Amazing working space near Anděl

Mám zájem o tuto pozici

Poslat nabídku na e-mail

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