Principal Data Engineer, Data Products

About the role

In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainability even deeper across all of our operations. By closer collaboration with customers and partners, KONE will increase the speed of bringing new services and solutions to the market.

What you'll do

• Designing data pipelines and doing hands-on data engineering development tasks in product teams
• Understanding the business needs, data, methods for industrializing the data pipelines, their optimization and limitations
• Demonstrating in-depth business domain-specific knowledge, ensuring that data pipelines are implemented with industry best practices
• Maximizing reusability and usage of common design patterns across the data product teams with an aim to keep them lean and maintainable
• Identifying technical debt regularly and ensuring that its management is prioritized in the product backlogs

What you need

• 18–20 years in data science & ai
• Machine learning
• SQL
• ETL
• Python
• Statistics
• Data privacy
• PhD or B.Tech or B.E. or B.Sc or BCA

Good to have

• AWS
• Databricks
• Airflow
• dbt
• Spark
• Kafka