Data Engineer

Homa is a global mobile game developer and publisher creating games people love. We partner with studios and internally develop games, having launched over 80 titles, reached over 2 billion downloads, and seen our game All in Hole break into the global top-50 grossing charts. These are milestones, not the finish line.

With deep expertise in product and technology, we built Homa Lab, our proprietary platform that gives developers the market intelligence, data tools, and game tech, with AI built-in, to find product–market fit fast and scale mass-market games into lasting experiences players enjoy for years.

This is our flywheel : Homa Lab helps studios spot the right ideas early, turn them into games quickly, and reach millions of players. Every launch brings back data and insights that fuel the next hit, making each turn of the loop faster, smarter, and more likely to win. AI supercharges this process, running through everything we do, from everyday tasks to our guiding principles.

What powers the loop is talent density. 220+ people from 30+ nationalities, bringing expertise from the world’s best studios and companies. We uphold ambition, curiosity, humility, and focus, and deliver with speed, excellence, and candor.

Since the start, we’ve raised $165M from Headline, Northzone, Eurazeo, Bpifrance, and the founders of King, Sorare, and Spotify, people who’ve built and backed the games and platforms we admire, now supporting our drive to create the next ones.

At Homa, we are building the next billion-player experiences from the ground up and shaping the future of entertainment.

Mission

As a Data Engineer , you’ll play a key role in building and scaling Homa’s data platform and data-powered products. You will report directly to the Head of Game Tech and partner closely with analysts, data scientists, and web / mobile engineers to drive reliable, scalable data systems that power product features, decision-making, and GenAI use cases, and contribute to shaping how Homa grows from here.

Your main responsibilities will include :

Data Platform Engineering

• Design, build, and operate scalable, production-grade data pipelines (ingestion, transformation, orchestration).
• Contribute to the evolution of our data platform (storage, compute, data quality, observability, cost control).
• Take part in architectural discussions with a strong focus on reliability, simplicity, and long-term maintainability.

Data Products & Applications

GenAI / LLM / Agent Workflows

This is a great opportunity to work on core infrastructure, gain hands-on experience with modern data stacks and GenAI systems in production, and grow rapidly into strong technical ownership.

Why Join Us

Requirements

We are looking for someone with proven expertise in data engineering or software engineering , and the humility, curiosity, ambition, and drive to make an impact fast. This role is designed for high-potential early-career engineers (

Background

Technical Expectations

Mindset

Even if you don’t check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we’re more interested in your potential and passion than a perfect match to our checklist.

Our Culture

At Homa, we prioritise talent, energy, and determination over traditional credentials. We’re building a global community of brilliant, driven people who think boldly, act with pragmatism, move fast, and push boundaries. We believe true innovation comes from diverse perspectives, deep collaboration, and curiosity without limits. Our culture is grounded in four core values :

Benefits

Building great games starts with building a great place to work. Here’s what you can expect :

Where We Hire

Our HQ in Paris is a vibrant hub of creativity, collaboration, and connection. From rooftop lunches and coffee chats to after-work apéros and community events, we’ve designed a space people genuinely enjoy - all within a cozy WeWork filled with good energy (and snacks). To keep collaboration smooth, we primarily hire within European time zones (UTC to UTC+3). For this role, if you're based in Paris, or planning to be, we’d love to hear from you!