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Data Engineer(m/w/x)
Architecting ETL pipelines and database schemas to transform voice-to-text conversations into structured CRM workflows. Advanced data modeling and SaaS interface scaling expertise required. Virtual equity participation and flexible working hours.
Requirements
- Strong data modeling and scaling skills
- Tech background in data science or engineering
- Knowledge of databases, warehouses, and ETL
- Intuition for SaaS interfaces and data
- Structured work manner and effective communication
- Problem solving skills in complex environments
Tasks
- Own the core data backbone and objects
- Architect and scale ETL pipelines
- Connect CRM systems, AI agents, and SaaS tools
- Transform raw data into actionable workflows
- Design robust database schemas
- Optimize complex database queries
- Build a reliable data provider layer
- Identify and resolve system bottlenecks
- Establish scalable data procedures and rules
- Collaborate on architecture and security decisions
- Gather and translate requirements into data structures
- Keep stakeholders informed on data developments
- Shape the product through data modeling
- Engage in technical database design and security
- Work with a dynamic, VC-financed team
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databases
- Warehouses
- ETL tooling
- SaaS interfaces
Benefits
Competitive Pay
- Competitive and fair compensation
- Virtual equity participation
Startup Environment
- Dynamic environment
Flexible Working
- Flexible working hours
- Remote work options
Informal Culture
- Strong team culture
Modern Office
- Modern office in Munich
Healthcare & Fitness
- Access to Wellpass
- Sports and wellness offerings
Public Transport Subsidies
- Deutschlandticket support
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Data Engineer(m/w/x)
Architecting ETL pipelines and database schemas to transform voice-to-text conversations into structured CRM workflows. Advanced data modeling and SaaS interface scaling expertise required. Virtual equity participation and flexible working hours.
Requirements
- Strong data modeling and scaling skills
- Tech background in data science or engineering
- Knowledge of databases, warehouses, and ETL
- Intuition for SaaS interfaces and data
- Structured work manner and effective communication
- Problem solving skills in complex environments
Tasks
- Own the core data backbone and objects
- Architect and scale ETL pipelines
- Connect CRM systems, AI agents, and SaaS tools
- Transform raw data into actionable workflows
- Design robust database schemas
- Optimize complex database queries
- Build a reliable data provider layer
- Identify and resolve system bottlenecks
- Establish scalable data procedures and rules
- Collaborate on architecture and security decisions
- Gather and translate requirements into data structures
- Keep stakeholders informed on data developments
- Shape the product through data modeling
- Engage in technical database design and security
- Work with a dynamic, VC-financed team
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databases
- Warehouses
- ETL tooling
- SaaS interfaces
Benefits
Competitive Pay
- Competitive and fair compensation
- Virtual equity participation
Startup Environment
- Dynamic environment
Flexible Working
- Flexible working hours
- Remote work options
Informal Culture
- Strong team culture
Modern Office
- Modern office in Munich
Healthcare & Fitness
- Access to Wellpass
- Sports and wellness offerings
Public Transport Subsidies
- Deutschlandticket support
About the Company
VoiceLine
Industry
IT
Description
Das Unternehmen ist ein stark wachsendes, VC-finanziertes Start-up an der Schnittstelle von Voice und KI, das innovative KI-Lösungen für Vertriebs- und Serviceteams anbietet.
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