Open position at NN IT HUB Prague

Data Engineer

Work schedule
Full-time
Address
Karla Engliše 3201/6, 150 00 Praha 5-Smíchov, Česko

Do you aspire to a career in IT, want to be involved in processes and procedures concerning our SaaS applications and make sure that everything complies to the NN security standards? This is the perfect position to start in IT security for you!

About us

Nationale-Netherlanden, also known simply as NN, headquartered in Netherlands, and providing financial and insurance service in 11 countries across Europe and Japan where it operates.

As the whole insurance industry is predicted to change significantly in the new era of data and analytics, so is NN ready to embrace this technological transformation to leverage the full potential of this opportunity.

We realize the need for investment in talent and people is even more important than investing into technology itself, however if both are present we can create synergies that can accelerate the change and provide ultimate competitive advantage.

That is why we are expanding our NN International Data Science Hub, a center of excellence for AI and Data, located in Prague and established at the heart of NN Group organization.

Our job is to innovate, deliver excellence and commitment within all 11 countries of NN through data management and data science projects using the latest cloud technology.

What will you do:

You will join the data management team working with the rest of data engineers supporting data scientists and individual business units of NN International. The team is responsible for development and deployment of data solutions to enable analytics capabilities, ensuring they are adopted across NN International. It reports directly to the Head Office’s Manager and collaborates with the Data Governance office and Data Science Hub.

  • You will closely collaborate with business analysts, data scientists on activities related to data topics
  • Your role will be mainly to help develop and deploy data pipelines and productionalize machine learning use cases by leveraging NN Azure cloud platform
  • You should be comfortable writing complex SQL scripts, have good understanding of relational databases and big data technologies, being able to write at least basic scripts in some other programming language of your choice
  • You should enjoy working with data, you are curious about new technologies and *trends.

What is expected from you:

  • You have experience with big data tools: Hadoop, Spark, Kafka, etc.
  • You have experience with object-oriented/object function scripting languages: *Python, Java, C++, Scala, etc.
  • You have experience with data pipeline and workflow management tools like Airflow, Azure Data Factory, AWS Glue, etc.
  • You have experience with Azure cloud service
  • You have good knowledge of SQL programming language and relational databases
  • You are familiar with Data Lake, Data warehouse concept, having experience with at least one of them
  • Have good knowledge of relational databases and big data technologies
  • You have some knowledge of containers: Docker, Kubernetes, Openshift, etc.
  • Fluent English

Keep developing..

We think it is important that you keep developing. We provide you with room and trust to grow in your career and as a person. We help you with this by providing:

  • Lots of training and education opportunities in our Learning & Development Centre
  • A large (international) network of colleagues who like to share their knowledge with you
  • The autonomy to decide on your own development path


        
          Ronald Lipták
        

        
          –
        

        
          Head of IT Hub
Ronald Lipták
Head of IT Hub

You can look forward to:

  • We can offer you autonomy, exciting projects, and the possibility of quick career growth

  • We are a young and dynamic team. We are not all work and no fun ;)
  • Flexible working environment - design office in the Anděl, however currently we work from home
  • There's 3D printer and laboratory also for your private use very near to your future work seat
  • Pension and NN life insurance product contribution
  • Wide range of other benefits such as language courses, iPhone 11, MultiSport Card, Cafeteria program, Home office allowance…

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