Pre-Sales Engineer / Solution Engineer m/w/d

Key Responsibilities:

  • Technical Advisory & Consultation: Serve as the primary technical point of contact and trusted advisor for prospective customers, providing expert guidance on capabilities and how they align with customer needs.
  • Solution Design & Architecture: Collaborate with customers to understand their data landscape, business requirements, and analytical objectives, and design optimal solution architectures.
  • Sales Collaboration: Partner with sales teams to qualify new opportunities, conduct technical discoveries, and develop compelling value propositions.
  • Proof of Value (POV) Execution: Lead and execute Proof of Concepts/Values (POCs/POVs) to demonstrate the tangible benefits of Exasol, including performance benchmarks, scalability, and ease of use.
  • Product Demonstrations: Deliver engaging and tailored product demonstrations to technical and business audiences, showcasing features and functionalities within the context of customer use cases.
  • Technical Expertise: Provide hands-on support, including data loading, tool integration, and complex SQL query optimization, to facilitate successful evaluations and implementations.
  • Presentation & Communication: Develop and deliver compelling presentations to technical audiences and decision-makers, effectively communicating the value of solutions.
  • Market & Technology Awareness: Stay up to date with the latest trends in data warehousing, analytics, and cloud computing, and contribute to internal knowledge sharing.

Required Qualifications:

  • A passion for technology and innovation – You’ve earned a Bachelor’s or Master’s degree in Computer Science, Business Informatics, or a closely related field, and you’re eager to put your knowledge into action.
  • Hands-on experience that counts – With 2+ years in a pre-sales, technical post-sales, or BI/DWH consulting role, you’ve already made an impact—and you’re just getting started.
  • A love for data – SQL isn’t just a skill for you—it’s a language you speak fluently. You thrive in the world of data lakehouse technologies and can navigate complexity with confidence.
  • A visionary mindset – You see the big picture. Modern data-driven architectures, ETL pipelines, BI tools, analytics platforms—you understand how they all come together to drive real business insights.
  • Adaptability across platforms – Whether it’s in the cloud or on-premises, you’re at home in any environment and excited by the possibilities they offer.
  • A relentless problem-solver – You don’t shy away from challenges. Instead, you approach them with a curious mind, a strategic approach, and a drive to deliver smart, effective solutions.
  • A storyteller at heart – Your communication and presentation skills set you apart. You can turn complex technical concepts into compelling stories that resonate with both experts and non-specialists alike.
  • A global mindset – Fluent in both German and English, you’re ready to connect, collaborate, and make a difference in a diverse, international setting.

Preferred Qualifications: 

  • Experience with data visualization tools (e.g., Tableau, Power BI, Qlik).
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Experience with data integration tools (e.g., Informatica, Talend).
  • Familiarity with DevOps practices and tools.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Knowledge of database administration and performance tuning.
  • Experience in a fast-paced, high-growth environment.