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Direct message the job poster from Trust In SODA
FLUENT GERMAN AND ENGLISH SPEAKERS ONLY
Empower businesses to make smarter, data-driven decisions
We’re seeking a Solution Engineer who thrives at the intersection of technology, data, and customer success — someone who loves solving complex problems, leading technical implementations, and helping clients unlock the full potential of analytics platforms.
This role blends solution architecture, customer engagement, and hands‑on technical execution — perfect for someone who enjoys both strategy and delivery in a dynamic, fast‑paced environment.
What You’ll Do
* Lead new and ongoing proofs of concept and rollouts, from first engagement to full-scale adoption.
* Act as a trusted technical advisor, designing and implementing scalable data solutions.
* Collaborate with customer teams to understand goals, use cases, and data ecosystems.
* Drive technical enablement, training, and best practice sharing.
* Work closely with Product and Engineering teams, sharing customer insights to influence the roadmap.
* Identify expansion opportunities and partner with Sales to deliver added value.
* 3+ years of experience in Data & Analytics consulting, solution delivery, or technical customer success.
* Expertise with tools like Snowflake, BigQuery, Databricks, Fivetran, dbt, Tableau, Power BI, or similar.
* Strong SQL and data modeling skills for BI and analytics use cases.
* Proven ability to manage customer relationships and projects autonomously.
* Fluency in German and English (essential for engaging with clients in Switzerland).
* Excellent communication — able to translate technical concepts into business impact.
* A proactive, problem‑solving mindset and comfort working in fast‑paced, high‑growth environments.
Join a forward-thinking SaaS environment where data, innovation, and customer success come together. You’ll have autonomy, visibility, and the opportunity to make a tangible impact — both technically and strategically.
Ready to Make an Impact?
Apply now and help redefine how organizations interact with their data.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
Data Infrastructure and Analytics, Information Services
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