Senior Data \& GenAI / ML Engineer @ Marktguru
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Job Technologies
Pyspark
Python
SQL
Azure
Github Actions
MLflow
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Your role in the team
As a Senior Data \& GenAI / ML Engineer (f/m/d), you will work at the intersection of data engineering, GenAI/LLM productization, and solution architecture, with a focus on solving real problems, not chasing buzzwords. marketguru is a data-driven tech company operating at the intersection of FMCG offer data, product intelligence, and consumer insights. Our platform helps users make smarter shopping decisions and supports retailers and brands with powerful data products. Over the past two years, we've built a modern data platform on Databricks (Azure). We're now looking for someone to help us further develop that platform - scaling data pipelines, integrating GenAI capabilities, and owning end-to-end solutions across our data stack.
Remote work within Austria possible; residence in Austria required.
What you can expect in this role
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
Übernehmen Sie die Verantwortung für Projekte von der Idee bis zur Implementierung
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
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Our expectations of you
Qualifications
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
Vertrautheit mit LLMs und GenAI-Workflows (Prompting, Embedding oder 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 e.g., 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.
What's in it for you?
Exciting career opportunities in a future-oriented industry within an innovative company that thrives on strong team spirit
Results-driven culture with plenty of room for initiative, creative work, flat hierarchies, and true collaboration
Flexible working hours and remote options for a healthy work-life balance, including the possibility to work up to 30 days per year from within the EU
Modern downtown office with drinks, snacks, and the option to bring your dog
Sports and wellness perks, such as MyClubs access and complimentary massages for mid-day relaxation
Coverage of the cost for the Vienna public transport annual pass, or regional transport tickets if you live outside Vienna
Exclusive training opportunities through the P7S1 Academy, as well as financial support for external courses
Attractive discounts with numerous partners and brands
Regular team events that are not only enjoyable but also encourage team bonding and creativity
Qualifications
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: 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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Topics that you deal with on the job
Machine Learning
Cloud Computing
AI
Data Economy
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Job Locations
Weyrgasse 8/11 A 1030 Wien Austria
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Salary
from 75.000€ gross per year
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This is your employer
Marktguru
📍 Vienna