AI Data Engineer
Posted Updated 7
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Description
You will own the analytics layer of one of Poland's leading telemedicine platforms — designing and shipping agentic workflows that turn raw operational data into autonomous, self-validating reports. You map business processes, decide what makes sense to automate with AI and what doesn't, then build it and maintain it. No task queue — you are the source of initiatives. Current reporting takes too long and don't speak AI language; your job is to fix that and architect what comes next.
Requirements
- Agentic coding
- Business curiosity
- LLM orchestration
- Fluent in SQL
- Proficiency in Python or TypeScript
- Experience with reporting tools
- Strong intuition for system architecture
- Designing data validation processes
- Working AI portfolio
Benefits
- Competitive salary & Multisport card
- You pick the stack and we support it
- Take ownership and build analytics from scratch
- Huge possibilities of further professional growth and career progression
- „Sky-is-the-limit” professional career in a dynamically growing med-tech organization.
- Flexible work forms and hours within a friendly and trust-driven team
- Unlimited access to Telemedi Health Package
- Transparent and open environment (it is not just a slogan: we give feedback and expect you to give it to us too!)
Skills
As published by workable · 9 questions · 5 written answers
Basics
First name, Last name, Email, Phone, Resume, What is your desired salary and type of contract?
Short answers (1)
- Do you have experience with in data visualization and reporting platforms?
Pick from a list (3)
- Do you speak Polish fluently (C1/C2)?
- Do you have the legal right to work in Poland?
- Are you able to visit our Warsaw office occasionally?
Written answers (5)
- Have you built anything where an LLM did more than answer a question — describe it briefly.
- You're given a messy Excel report that someone recreates manually every month. How would you start automating it?
- What's something you tried to solve with AI that didn't work — and how did you handle it?
- How do you currently use AI in your day-to-day work? Give a concrete example.
- You join a new company with no clear task list on day one. What's your first move?