Data Engineer + ML - Hybrid (Warsaw)
Correct Context is looking for a Data Engineer + ML for Samba TV in Warsaw, Poland.
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.
We offer:
Real big data projects 🚀
An international team (US, PL, GB) 🌎
A small, independent team working environment 🧑💻
High influence on working environment 🎯
A hands-on environment with real ownership 🛠️
Hybrid work model in Warsaw, Poland (3 days in the office / 2 days from home) 🏢
15,000 - 28,000 PLN net/month B2B 💰
Free lunch in the office 🍽️
As a Data Engineer + ML Specialist, you'll:
Own end-to-end delivery of significant data science projects, from problem scoping and approach design through to production deployment
Build production-quality Python and PySpark solutions on Databricks for ML and AI-powered workflows
Develop reusable tools, libraries, and documentation that improve team efficiency and technical standards
Mentor team members and help raise the bar for code quality and technical execution
Collaborate closely with Product, Engineering, and Operations on scalable, production-ready solutions
The candidate must have:
2+ years of hands-on ML experience
Advanced Python, strong SQL, and PySpark experience for large-scale datasets
Databricks workflows, Delta Lake
AWS or GCP experience
Ability to document technical decisions clearly
Nice to have:
RAG systems, LLM-augmented models, vector databases, or semantic search experience
Knowledge graph construction, entity resolution, or semantic data modeling exposure
Media, ad tech, or measurement background
Master's degree in a quantitative field
If you don't have all the qualifications, but you think there is a match, let's talk!
The recruitment process for the Data Engineer + ML position has following steps:
Technical survey ~ 10min
Technical screening - 30 min
Technical Interviews with Samba TV team members - 3 or 4 interviews of around 60 min each
- Department
- SambaTV
- Locations
- Warsaw
- Remote status
- Hybrid
Warsaw
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Products
We strongly believe that working on a specific product for longer period of time has a lot of benefits. Person working in such environment where deep understanding of a product, technology in a stable environment can render great ideas, improvements and benefit everybody. No switching projects every three months, no new manager every three months, no new customer every three months. -
Craftsmanship
Everyday we learn something. It's great when you can not only learn but use that knowledge to build great stuff and grow yourself. We are big fans of excellence and technical craftsmanship. No excuses to avoid CI, tests, QA, best practices. It's true that shipping is the most important thing, but in the end, it's your name on it, let's make it right way. -
Stable and Flexible Environment to Grow
As practice shows, small teams are best to achieve best results and we are big fans of that approach. It's easier to agree on holidays, specific time to work, plan your time to take children from school. It's easier to agree on technical solutions and easier to communicate. With all that and bunch of extra smaller things like private healthcare, trainings, flexible working hours, fully remote or office options, employment of B2B type of work, lawyer/accountant help we are creating stable and safe environment for you to grow not only on a technical level, but also as a person. -
Technical Autonomy
We trust you. All teams have the autonomy to pick best solutions, best software, best approach for problem solving. No crazy managers to tell you that mongodb is a must or everybody must work in vim. We want you to support you on the road to technical excellence and avoid artificial blockers. All structures are as flat as possible and all decision making is as close to the core as possible. I hope you enjoy this a lot.
Workplace & culture
We really love to make working software products. We are small teams that are focused on specific products. Each of us contributes to project we like the most and with trust, independence and autonomy, hands-on approach and great software craftsmanship we shape the future.
About Correct Context
Correct Context is about gathering together best IT Developers, UX and UI Designers, Product People and Ambitious Product Companies to build and grow Greatest Products that matter.