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Solutions Engineer(m/w/x)
Implementing dlt in customer systems and guiding platform onboarding for AI-native data tooling. Technical customer-facing and data engineering experience required. Annual learning budget, no meeting days.
Requirements
- Based in Berlin, willing to work in office regularly
- Experience in technical customer facing role
- Experience in Data Engineering role
- Quick learner, eager to explore new technologies
- Working knowledge of Python and data landscape solutions
- Experience teaching & communicating technical material
- Prior experience with dlt’s ecosystem
Tasks
- Implement and deploy dlt in customer systems
- Guide onboarding for dltHub platform
- Support paid offering onboarding
- Manage the full customer lifecycle
- Collaborate with CEO to support sales
- Build demos for sales process
- Gather customer feedback
- Address customer challenges with product team
- Address customer feature requests with product team
- Manage customer-facing documentation
- Manage customer-facing presentations
- Manage customer-facing website content
- Manage customer training materials
- Run training sessions with customers
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Iceberg
- dbt
- Snowflake
- Databricks
- DuckDB
- Postgres
- MSSQL
- Oracle
- Airflow
- Dagster
Benefits
Flexible Working
- Work from home
Public Transport Subsidies
- Public transportation ticket coverage
Learning & Development
- Annual learning and development budget
Free or Subsidized Food
- Subsidized team lunches
Healthcare & Fitness
- Urban Sports Club membership
Competitive Pay
- ESOP plan
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- dltHubFull-timeWith HomeofficeSeniorBerlin
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Solutions Engineer(m/w/x)
Implementing dlt in customer systems and guiding platform onboarding for AI-native data tooling. Technical customer-facing and data engineering experience required. Annual learning budget, no meeting days.
Requirements
- Based in Berlin, willing to work in office regularly
- Experience in technical customer facing role
- Experience in Data Engineering role
- Quick learner, eager to explore new technologies
- Working knowledge of Python and data landscape solutions
- Experience teaching & communicating technical material
- Prior experience with dlt’s ecosystem
Tasks
- Implement and deploy dlt in customer systems
- Guide onboarding for dltHub platform
- Support paid offering onboarding
- Manage the full customer lifecycle
- Collaborate with CEO to support sales
- Build demos for sales process
- Gather customer feedback
- Address customer challenges with product team
- Address customer feature requests with product team
- Manage customer-facing documentation
- Manage customer-facing presentations
- Manage customer-facing website content
- Manage customer training materials
- Run training sessions with customers
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Iceberg
- dbt
- Snowflake
- Databricks
- DuckDB
- Postgres
- MSSQL
- Oracle
- Airflow
- Dagster
Benefits
Flexible Working
- Work from home
Public Transport Subsidies
- Public transportation ticket coverage
Learning & Development
- Annual learning and development budget
Free or Subsidized Food
- Subsidized team lunches
Healthcare & Fitness
- Urban Sports Club membership
Competitive Pay
- ESOP plan
About the Company
dltHub
Industry
IT
Description
dltHub builds AI-native data tooling on an open-source foundation, focusing on fast iteration, experimentation, and user-centric AI workflows.
Not a perfect match?
- dltHub
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