Lobster
Senior Sales Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Tutzing, München
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FIFivetran
Lead Sales Engineer, Enterprise(m/w/x)
München
Full-timeRemoteSenior
Nejo AI Summary
Building data pipelines for modern data stacks with enterprise customers. Native German proficiency and 5+ years in data replication or sales engineering required. 100% employer-paid medical insurance, generous PTO.
Requirements
- Native/Professional proficiency in German
- 5+ years in data replication, sales engineering, or related technical field
- Strong technical background in database replication, cloud infrastructure, and data replication technologies with hands-on experience
- Experience with modern data analytics technologies (cloud data warehouses, transformation tooling, data catalogs, BI tools)
- Excellent communication and presentation skills
- Strong problem-solving and analytical skills
- Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
- Hands-on experience with other data replication or ETL tools
- Experience with self-hosted software applications and supporting infrastructure
- Hands-on networking experience (cloud and on-premise)
- Experience developing partner relationships
- Specialized expertise in security posture
- Hands-on experience with DBT
- Docker/Podman/Kubernetes experience
Tasks
- Work with Enterprise customers to understand business needs
- Develop and deliver technical presentations
- Run organized proof-of-value processes
- Collaborate with cross-functional teams for improvements
- Maintain high customer focus and technical excellence
- Stay updated on industry technologies and trends
- Assist team members with technical and business challenges
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
Tools & Technologies
- Oracle
- SQL Server
- Postgres
- MySQL
- NoSQL databases
- DBT
- Docker
- Podman
- Kubernetes
Benefits
Healthcare & Fitness
- 100% employer-paid medical insurance
More Vacation Days
- Generous paid time-off policy
- Paid volunteer days off
Generous Parental Leave
- Inclusive parental leave policy
Competitive Pay
- RSU stock grants
Learning & Development
- Professional development opportunities
- Training opportunities
Team Events
- Company virtual happy hours
- Team-building activities
Free or Subsidized Food
- Free food
Additional Allowances
- Monthly cell phone stipend
Mental Health Support
- Mental health support platform
- Therapy services
- Mindfulness exercises
Mentorship & Coaching
- Coaching services
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fivetran and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FIFivetran
Lead Sales Engineer, Enterprise(m/w/x)
München
Full-timeRemoteSenior
Nejo AI Summary
Building data pipelines for modern data stacks with enterprise customers. Native German proficiency and 5+ years in data replication or sales engineering required. 100% employer-paid medical insurance, generous PTO.
Requirements
- Native/Professional proficiency in German
- 5+ years in data replication, sales engineering, or related technical field
- Strong technical background in database replication, cloud infrastructure, and data replication technologies with hands-on experience
- Experience with modern data analytics technologies (cloud data warehouses, transformation tooling, data catalogs, BI tools)
- Excellent communication and presentation skills
- Strong problem-solving and analytical skills
- Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
- Hands-on experience with other data replication or ETL tools
- Experience with self-hosted software applications and supporting infrastructure
- Hands-on networking experience (cloud and on-premise)
- Experience developing partner relationships
- Specialized expertise in security posture
- Hands-on experience with DBT
- Docker/Podman/Kubernetes experience
Tasks
- Work with Enterprise customers to understand business needs
- Develop and deliver technical presentations
- Run organized proof-of-value processes
- Collaborate with cross-functional teams for improvements
- Maintain high customer focus and technical excellence
- Stay updated on industry technologies and trends
- Assist team members with technical and business challenges
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
Tools & Technologies
- Oracle
- SQL Server
- Postgres
- MySQL
- NoSQL databases
- DBT
- Docker
- Podman
- Kubernetes
Benefits
Healthcare & Fitness
- 100% employer-paid medical insurance
More Vacation Days
- Generous paid time-off policy
- Paid volunteer days off
Generous Parental Leave
- Inclusive parental leave policy
Competitive Pay
- RSU stock grants
Learning & Development
- Professional development opportunities
- Training opportunities
Team Events
- Company virtual happy hours
- Team-building activities
Free or Subsidized Food
- Free food
Additional Allowances
- Monthly cell phone stipend
Mental Health Support
- Mental health support platform
- Therapy services
- Mindfulness exercises
Mentorship & Coaching
- Coaching services
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fivetran and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fivetran
Industry
IT
Description
Fivetran makes data access simple and reliable, delivering customer data to warehouses ready for querying with no engineering required. The company builds data pipelines for the modern data stack.
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