At Vengine, you design cutting-edge AI solutions for the construction industry – from rental, sales to service.
Working closely with analysts and product teams, you lead projects from initial concept to automated decision-making : you develop innovative approaches, train models, and bring them into production.
You transform your AI services into market-ready products, tailored to the strategic opportunity areas identified by our analysts. Our customers already operate with modern tech stacks and are looking for scalable, sustainable solutions to maintain their competitive edge in a fast-moving market.
You collaborate directly with key user groups to precisely capture requirements and design AI solutions that integrate seamlessly into existing systems – strengthening their long-term capacity for innovation.
Activities
* Identify, evaluate, and integrate modern AI technologies into our stack.
* Connect raw data and develop scalable ETL / ELT workflows in Databricks.
* Design, test, and operate CI / CD pipelines using GitHub Actions and Databricks Jobs.
* Deploy ML and GenAI microservices, optimizing for latency and scalability with monitoring and alerting.
* Identify AI potential in business processes, prioritize opportunities, and translate them into value-generating use cases.
* Develop, validate, and continuously improve forecasting models, machine learning algorithms and statistical analyses.
* Clearly document and communicate methods, results and insights for both technical and business stakeholders.
* Collaborate closely with our Data Scientist in tech sparring sessions, sharing code reviews, architectural decisions and best practices.
Requirements
* Proven hands-on experience as a Data Engineer and Machine Learning Engineer in production-grade projects.
* Deep knowledge of Python and SQL for data preparation, modeling, and analysis.
* Initial practical experience with Databricks.
* Confident in working with CI / CD pipelines for testing, packaging, and deployment.
* Familiarity with DBT for structuring and automating ETL / ELT processes.
* Experience with common machine learning algorithms, statistical analysis, and forecasting models.
* Strong problem-solving skills and a sharp eye for detail.
* Excellent communication and teamwork skills.
* Ability to manage multiple projects and priorities in a structured and organized manner.
Team
We are vengineers — dreamers, doers and designers of the future. Based in Hamburg, we create innovative and efficient solutions that turn complexity into clarity and purpose. Our small and interdisciplinary team excels in building strong brands, crafting transformative strategies, developing custom software, and delivering engaging experiences. Together with our partners, we are committed to shaping tomorrow and inspiring with our products and services in the construction industry. Our strength lies in our people. As a skill-based organization, we empower you to succeed in what you’re passionate about. Every team member plays a vital role, making vengine a place where your contributions truly matter and your work has real impact.
Application Process
At vengine, we believe that building a strong team starts with getting to know each other. That’s why our application process is designed to be personal, transparent, and focused on mutual fit (both in terms of skills and personality).
After we’ve received your application, we’ll kick things off with a short digital get-to-know session. This first conversation helps us understand your background, motivation, and what you're passionate about and gives you the chance to learn more about us. If we both feel like it could be a match, we’ll move on to a personality check with some team members and our managing directors. This conversation goes deeper : it’s about how you work, what drives you and where you want to grow. It’s a great way to experience our culture, get a sense of daily collaboration, and ask anything that’s still on your mind. We’re excited to meet people who want to build something meaningful together.
Machine Learning Engineer • Hamburg, Hamburg, DE
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