Senior Sales Engineer, Enterprise

Fivetran·RemoteRemotosenior

En corto

→Ingeniero de Ventas Senior que impulsa ventas enterprise en Alemania con soluciones técnicas para replicación de datos.
→Días a día: analizar necesidades de clientes, demostrar valor técnico y guiar pruebas de concepto con tecnologías cloud y data warehouses.
→Destacado: trabajo en una empresa líder que combina Fivetran y dbt Labs para construir infraestructura de datos de vanguardia.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Experiencia demostrable como Ingeniero de Ventas o rol técnico en ventas enterprise.
✓Dominio del alemán (idioma principal para comunicación con clientes).
✓Conocimiento profundo de pipelines de datos, ETL/ELT y replicación de datos.
✓Experiencia con cloud providers (AWS, GCP, Azure) y data warehouses (Snowflake, BigQuery, Databricks).
✓Habilidad para comunicar arquitecturas técnicas a audiencias no técnicas.
✓Capacidad para liderar pruebas de valor (POC) y demostraciones técnicas.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

AWSGCPAzureSnowflakeBigQueryDatabricksNew RelicLinuxWindowsPython

¿A quién escribirle en Fivetran?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based in Germany, with preference for Munich. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do • Work with Enterprise customers to understand their business, their use cases, and their data replication requirements <li style="color: rgb(73, 73, 73) !important; font-family: helvetica, arial, sans-serif; font-si

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