Die KI-Suchmaschine für Jobs
Mid Data Engineer(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
2 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Startup-Atmosphäre
- •Real ownership and autonomy
- •Co-working space support
Flexibles Arbeiten
- •Remote-first work model
- •Flexible working hours
Team Events & Ausflüge
- •Annual global team gatherings
- •Regular office hangouts
Weiterbildungsangebote
- •Professional development opportunities
Mehr Urlaubstage
- •3 extra growth days
- •5-week loyalty bonus vacation
- •Paid birthday leave
Mentale Gesundheitsförderung
- •Headspace app access
- •BetterHelp counseling support
- RoomPriceGenieVollzeitRemoteManagementMannheim, Berlin
- BAUHAUS
Data Engineer - Feedback Management(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenMannheim - BAUHAUS
Experienced Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMannheim - BAUHAUS
Data Engineer - Feedback Management(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenMannheim - RoomPriceGenie
Senior Fullstack Engineer - Python & React(m/w/x)
VollzeitRemoteSeniorMannheim, Berlin
Mid Data Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
2 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Startup-Atmosphäre
- •Real ownership and autonomy
- •Co-working space support
Flexibles Arbeiten
- •Remote-first work model
- •Flexible working hours
Team Events & Ausflüge
- •Annual global team gatherings
- •Regular office hangouts
Weiterbildungsangebote
- •Professional development opportunities
Mehr Urlaubstage
- •3 extra growth days
- •5-week loyalty bonus vacation
- •Paid birthday leave
Mentale Gesundheitsförderung
- •Headspace app access
- •BetterHelp counseling support
Über das Unternehmen
RoomPriceGenie
Branche
Hospitality
Beschreibung
The company is dedicated to helping hoteliers achieve optimal pricing through a powerful solution that analyzes hotel data and market trends.
- RoomPriceGenie
Associate Data Engineering Manager(m/w/x)
VollzeitRemoteManagementMannheim, Berlin - BAUHAUS
Data Engineer - Feedback Management(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenMannheim - BAUHAUS
Experienced Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMannheim - BAUHAUS
Data Engineer - Feedback Management(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenMannheim - RoomPriceGenie
Senior Fullstack Engineer - Python & React(m/w/x)
VollzeitRemoteSeniorMannheim, Berlin