Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization
Job Summary
Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization.
In this role you will be doing hands on data engineering tasks from new development to resolving technical issues, maintaining and optimizing workloads.
We approach multi-cloud data engineering experience, as your professional background.
Matching Summary
Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization.
Skills & Requirements
Must-have
Data engineering and DevOps passion
Hands-on data engineering tasks
Modern multi-cloud stack
DevOps mindset
Agile development methodologies
Enterprise data landscapes
Nice-to-have
Develop own professional skills
Learn new things
Contribute to team success
Work in global multi-cultural team
Teamwork and collaboration
Key Requirements
Master's degree in software engineering, data engineering, computer science, or related field
> 3 years hands-on data engineering experience
Experience developing and maintaining data pipelines on AWS, Azure and/or Databricks