Senior Data & GenAI / ML Engineer (f/m/d)

Data Engineering & Platform

• Build and maintain robust PySpark/Python/SQL pipelines on our Databricks stack
• Improve performance, reusability, and governance of product and offer datasets
• Contribute to the overall platform architecture
• Configure and optimize Databricks workflows and clusters
• Handle occasional infrastructure tasks such as firewall settings or connector setup

GenAI and LLM Applications

• Develop and apply LLM-based applications (prompting, embedding, fine-tuning) to structure and enrich data
• Prototype and implement computer vision use cases such as extracting structured data from flyer images
• Work closely with data scientists to bring GenAI features into production
• Focus on practical solutions that integrate into the platform and provide value

Solution Ownership & Collaboration

• Take ownership of projects from idea to deployment
• Contribute architectural input for new features or pipelines
• Help define and maintain best practices across the data team
• Support and maintain CI/CD workflows via GitHub Actions
• Implement unit/integration tests for transformation logic, and build data-quality frameworks (constraints, assertions, expectations) to enforce accuracy at every stage

Must-Haves

• 5+ years of experience in data engineering or building production-grade data platforms

• Strong skills in Python, SQL, and PySpark

• Experience working with Databricks on Azure

• Familiarity with LLMs and GenAI workflows (prompting, embedding or fine-tuning)

• Built at least one LLM or Vision-AI feature that reached production users (prompt engineering, embeddings or fine-tuning)

• Comfortable working hands-on across multiple layers of the data stack
  
  

Nice to have

• Hands-on experience with computer vision models eg. VLMs

• Interest in or experience with event-driven or streaming architectures

• MLOps/LLMOps experience: MLflow, experiment tracking, model registry, and deploying models as part of data pipelines

• Informal or formal experience as a solution architect or technical lead

• German reading skills - useful for understanding product and offer data, but not required. All documentation, code, and communication are in English.

• Applied GenAI and LLM use cases that go beyond prototypes and directly support our platform with a broad and growing user base across the DACH region

• A modern tech stack including Databricks, Azure, PySpark, Delta Lake, HuggingFace, and OpenAI

• Exciting development opportunities in a growth- and future-oriented industry within an innovative company that thrives on strong team spirit, real ownership and small, focused teams

• A results-driven culture with plenty of freedom for initiative, flat hierarchies, and straightforward collaboration where practical solutions matter more than processes and everyone can contribute their strengths in the best possible way

• Flexible working hours and the possibility for 100% remote work to support a healthy work-life balance - including the option to work from other EU countries for up to 30 days per year as well as options for unpaid leave and sabbatical

• Health and wellness benefits, including MyClubs (AT) and complimentary massages for moments of relaxation in our austrian office

• Subsidized public transport to encourage stress-free and environmentally friendly commuting

• Access to exclusive training opportunities through the P7S1 Academy, plus financial support for external development programs

• Company bike leasing program via JobRad that allows you to lease a high-quality bicycle or e-bike at attractive conditions

• Attractive discounts from a variety of partners and brands

• A modern office in the city center, stocked with drinks and snacks and yes, your dog is welcome too

• Regular team events that aren’t just fun, but also bring people together and spark inspiration

For this position, we offer a gross annual salary starting at €75.000. Depending on your qualifications and experience, we are of course open to overpayment.
We’d be happy to discuss the specific details with you in person.