Solutions Engineer - (EMEA Greenfield)

undefined ago • 2 Years + • Devops

Job Summary

Job Description

You will be an essential part of this mission, using your technical skills to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You will report to a Field Engineering Manager and work with a collaborative, customer-focused team that values innovation and creativity, applying your skills to create customised solutions that help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
Must have:
  • Participate in the Databricks Field Engineering Launchpad programme
  • Gain hands-on experience by working on technical projects
  • Understand customer needs and deliver solutions
  • Promote our platform to the technical community
  • Develop technical skills for data projects
  • Grow into an independent Senior Solutions Engineer
  • Flexibility to travel (up to 20–30%)
  • Business proficiency in German and English
  • 2+ years of experience in Data Engineering, Data Science, or ML Engineering
  • Strong communication skills
  • Enthusiasm for technical discovery
  • Ability to identify and articulate business value
  • Hands-on experience with Python or SQL
  • Hands-on experience with AWS, GCP, or Azure
Good to have:
  • Apache Spark
  • Databricks Cloud Certifications
  • Italian (Fluency)
  • French (Fluency)
Perks:
  • Comprehensive benefits and perks

Job Details

At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that drive their business forward. We provide a user-friendly, intuitive platform that makes it easy to turn insights into action, fostering a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical skills to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You will report to a Field Engineering Manager and work with a collaborative, customer-focused team that values innovation and creativity, applying your skills to create customised solutions that help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

Notes on mandatory requirements:

  • Location for the role is Munich (or within a commutable distance for a hybrid schedule). The location could also potentially be in Berlin.
  • Flexibility to travel (up to 20–30% as required for customer meetings, events, and training).
  • Business proficiency in both German and English is required as a minimum. Fluency in additional regional languages, such as Italian or French, may be advantageous.

The impact you will have:

  • Participate in the Databricks Field Engineering Launchpad programme to learn and develop the skills required for a successful career in Field Engineering.
  • Gain hands-on experience by working on technical projects, understanding customer needs, and delivering solutions that address their challenges.
  • Promote our platform to the technical community through workshops, events, and partnerships with the Databricks team.
  • Develop technical skills to work on data projects from ingestion to insight creation and prediction.
  • Grow into an independent Senior Solutions Engineer by developing both technical and customer-facing skills.

What we look for:

  • 2+ years of experience in Data Engineering, Data Science, Machine Learning Engineering, or similar technical roles.
  • Strong communication skills, with the ability to answer customer questions, align with their interests, and achieve tangible results.
  • Enthusiasm for technical discovery, including gathering requirements through effective questioning, researching solutions, and presenting proofs-of-concept to an audience.
  • Ability to identify and articulate the business value of technical solutions.
  • Hands-on experience with a core programming language such as Python or SQL. Apache Spark skills will be advantageous.
  • Hands-on experience with public cloud platform(s) AWS, GCP or Azure.
  • Cloud certifications in Databricks will be advantageous.

#LI-Hybrid

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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