Genai Data Engineer - Remote

Looking for your next Senior Data & GenAI Engineering role?

Are you a data enthusiast who loves combining smart engineering with cutting-edge GenAI tools?

Do you want to see your work have a

real-world, tangible impact

• like influencing what products people buy, how much they spend, or what offers perform best?

Do you thrive in a

remote-first team

where

every idea is heard

, where there's zero politics, and where innovation is the default?

If you're nodding yes, keep reading

With

HQ in Vienna

and team members spread across Austria and Germany, our client is a fast-growing, data-driven tech company empowering millions of users to make smarter shopping decisions.

Since 2011, they've been shaping the way consumers interact with FMCG offers, delivering powerful insights to both users and brands through one of the

top-rated mobile apps

in the DACH region.

They're profitable, with over €27M annual revenue, and operate as an independent, innovative company, backed by one of Europe's leading media groups. The company culture? Small, agile teams (±80 employees in total). Strong ownership. No silos. No egos. Just data, impact, and results.

What your role will look like?

You will :

Python

SQL

, and

Databricks

(Azure)

GenAI tools

like ChatGPT & Gemini to prompt, structure, and enrich data

computer vision

solutions (e.G. flyer image extraction)

You're a great fit if you...

5+ years of experience in data engineering or full-stack data roles

Python

and

SQL

Databricks on Azure and Vision AI / Computer Vision

GenAI workflows

: prompting, embedding, evaluating models

German fluently

What awaits you?

high-impact role

in a growing team, where your work is seen, heard, and valued

remote-first culture

with real flexibility

Salary

: Starting around €85,000 gross annually, with some flexibility based on seniority.

Location

: You can be fully remote, with the base in either

Germany or Austria

Want to shape the future of data, AI, and retail tech? Be part of a team that's connecting data silos, building bridges, and delivering

impact at scale