Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 75.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will build robust PySpark/Python/SQL pipelines on Databricks, implement LLM and computer vision applications, and optimize workflows while collaborating closely with data scientists.
Job Technologies
Your role in the team
- Remote work within Austria possible; residence in Austria required.
- 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.
- 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.
- 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 and integration tests for transformation logic, and build data-quality frameworks (constraints, assertions, expectations) to enforce accuracy at every stage.
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Our expectations of you
Qualifications
- Strong skills in Python, SQL, and PySpark.
- 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.
- German reading skills are useful for understanding product and offer data, but not required.
- All documentation, code, and communication are in English.
Experience
- 5+ years of experience in data engineering or building production-grade data platforms.
- Experience working with Databricks on Azure.
- Hands-on experience with computer vision models, e.g., VLMs.
- Interest in or experience with event-driven or streaming architectures.
- MLOps/LLMOps experience including MLflow, experiment tracking, model registry, and deploying models as part of data pipelines.
- Informal or formal experience as a solution architect or technical lead.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Marktguru
marktguru publiziert Werbeprospekte, Angebote und Aktionen die über die iOS-, Android- und Web-App kostenlos genutzt werden können. Mit marktguru ergänzt die ProSiebenSat.1 PULS 4 GmbH ihr umfassendes Vermarktungsangebot, um eine starke mobile Plattform. Wir agieren in unabhängigen Unternehmensstrukturen eines Start-Ups mit 80+ MitarbeiterInnen und Standorten in Wien, München, Hamburg und Yerevan und mit voller Unterstützung des Konzerns.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Media, Publishing
Senior Data GenAI ML Engineer
- Salary
- from 75.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
