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Mid Data Engineer(m/w/x)
Description
In this role, you will bridge the gap between engineering and business by building scalable pipelines that power pricing recommendations for thousands of hotels worldwide.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •2-4 years professional Python experience
- •Experience building production ETL/ELT pipelines
- •Understanding of data modeling concepts
- •Experience with orchestrated data pipelines
- •Experience building Python backend services
- •Familiarity with asynchronous workflows
- •Experience with cloud infrastructure
- •Understanding of software design principles
- •Experience working with large datasets
- •Analytical mindset and data interest
- •Ownership mentality and reliable coding
- •Familiarity with product-oriented data teams
- •Fluency in English
- •Based within European Time Zone
- •Hands-on experience with dbt
- •Interest in modernizing legacy pipelines
- •Hands-on experience with Celery & RabbitMQ
- •Hands-on experience with PostgreSQL
- •Hands-on experience with Django/FastAPI
- •Experience with Datadog and/or Sentry
- •Experience with semantic modeling tools
Education
Work Experience
2 - 4 years
Tasks
- •Design and own scalable data pipelines
- •Utilize Snowflake, Dagster, and dbt
- •Manage the full production lifecycle
- •Migrate legacy Django and Celery pipelines
- •Reshape product-wide data flow architecture
- •Collaborate with Product and Engineering teams
- •Translate business questions into technical designs
- •Enable data usage for analysts and scientists
- •Champion data reliability through testing
- •Implement observability and documentation standards
Tools & Technologies
Languages
English – Business Fluent
Benefits
Startup Environment
- •Real ownership and autonomy
- •Co-working space support
Flexible Working
- •Remote-first work model
- •Flexible working hours
Team Events
- •Annual global team gatherings
- •Regular office hangouts
Learning & Development
- •Professional development opportunities
More Vacation Days
- •3 extra growth days
- •5-week loyalty bonus vacation
- •Paid birthday leave
Mental Health Support
- •Headspace app access
- •BetterHelp counseling support
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Mid Data Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will bridge the gap between engineering and business by building scalable pipelines that power pricing recommendations for thousands of hotels worldwide.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •2-4 years professional Python experience
- •Experience building production ETL/ELT pipelines
- •Understanding of data modeling concepts
- •Experience with orchestrated data pipelines
- •Experience building Python backend services
- •Familiarity with asynchronous workflows
- •Experience with cloud infrastructure
- •Understanding of software design principles
- •Experience working with large datasets
- •Analytical mindset and data interest
- •Ownership mentality and reliable coding
- •Familiarity with product-oriented data teams
- •Fluency in English
- •Based within European Time Zone
- •Hands-on experience with dbt
- •Interest in modernizing legacy pipelines
- •Hands-on experience with Celery & RabbitMQ
- •Hands-on experience with PostgreSQL
- •Hands-on experience with Django/FastAPI
- •Experience with Datadog and/or Sentry
- •Experience with semantic modeling tools
Education
Work Experience
2 - 4 years
Tasks
- •Design and own scalable data pipelines
- •Utilize Snowflake, Dagster, and dbt
- •Manage the full production lifecycle
- •Migrate legacy Django and Celery pipelines
- •Reshape product-wide data flow architecture
- •Collaborate with Product and Engineering teams
- •Translate business questions into technical designs
- •Enable data usage for analysts and scientists
- •Champion data reliability through testing
- •Implement observability and documentation standards
Tools & Technologies
Languages
English – Business Fluent
Benefits
Startup Environment
- •Real ownership and autonomy
- •Co-working space support
Flexible Working
- •Remote-first work model
- •Flexible working hours
Team Events
- •Annual global team gatherings
- •Regular office hangouts
Learning & Development
- •Professional development opportunities
More Vacation Days
- •3 extra growth days
- •5-week loyalty bonus vacation
- •Paid birthday leave
Mental Health Support
- •Headspace app access
- •BetterHelp counseling support
About the Company
RoomPriceGenie
Industry
Hospitality
Description
The company is dedicated to helping hoteliers achieve optimal pricing through a powerful solution that analyzes hotel data and market trends.
- RoomPriceGenie
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