Banco De Dados-Jobs in Deutschland

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. We've pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and have been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and over 5,100 dbt Cloud customers.

As of February 2025, we surpassed $100 million in annual recurring revenue (ARR), scaling from $2M ARR to this milestone in only four years. Simultaneously, we've exceeded the 5,000 customer mark, with 85% year-over-year growth in adoption among Fortune 500 companies. This momentum is fueled by dbt’s critical role as the data control plane for enterprise data teams around the world, who rely on the technology to transform data into reliable, actionable business insights. We're rapidly growing and looking for passionate people to join our global team. Learn more about what makes us special by checking out our values here.

The Query Applications team is revolutionizing the modern data stack. We're enabling data-driven organizations to instantly access their data assets by building native Query Applications within dbt Cloud, and enabling anyone to access business metrics via our Semantic Layer product. These metrics are easily discoverable and consistently implemented across entire organizations—regardless of the analytics tool used.

Joining this team, you'll collaborate with subject matter experts who share a vision for how organizations should consume business metrics. You'll build a distributed, highly available system that empowers our customers to go beyond data modeling and proactively answer their most crucial business questions. These range from "What was our gross revenue last quarter in the EU?" to "Which of our medications can we afford to make available at a lower price?"

While the backend is crucial, this full-stack team also ensures that end users have a delightful experience with the Semantic Layer. We achieve this by creating excellent ergonomics for the project, including building LLM-powered productivity tools for analytics engineers.

• Design and implement scalable, reliable, and highly available systems
• Prioritize end-user experience and contribute to its continuous improvement
• Balance trade-offs, set priorities, and manage deliverables using your project completion expertise
• Foster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practices
• Establish and uphold quality standards to enhance overall service reliability
• Participate in daily stand-ups, mentoring sessions, and pair programming.

• Worked asynchronously as part of a fully remote, international, distributed team
• Experience using Python to create scalable full-stack applications (e.g., building services for applications with complex workflows)
• Enjoy collaborating closely with product management partners
• Worked with Large Language Models (LLMs) in the past
• Value interacting with end-users and deeply understanding their needs
• Can make informed trade-offs to ship useful features promptly without compromising long-term quality
• Love backend work, but have frontend experience and can reason about end-to-end systems.

• Experience with distributed systems, database modeling, caching layers and/or DB performance
• Worked with the Semantic Layer.

What to expect in the hiring process:

• An introductory call with a member of our Talent team
• A technical screen and meeting with the Hiring Manager
• A coding interview conducted in a collaborative, pair programming format
• A panel interview including multiple members of the Engineering Team
• A final interview with a member of our Engineering Leadership Team

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

• Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
• Data analysts should adopt similar practices and tools to software developers
• Critical analytics infrastructure should be controlled by its users as open source software
• Analytic code itself—not just analytics tools—will increasingly be open source

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway!