Data Engineer - Paris - Homa

Description

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

• Work closely with analysts, data scientists, and application engineers to deliver end-to-end data products.
• Build well-modeled datasets and interfaces that directly support business and product features.
• Balance speed of delivery with robust engineering standards.

GenAI / LLM / Agent Workflows

• Build and maintain data pipelines feeding LLM-based systems (e.g. retrieval, embeddings, vector stores).
• Contribute to the productionization of GenAI workflows (RAG pipelines, agent orchestration, evaluation, and monitoring).
• Help bridge the gap between experimental AI use cases and reliable, scalable systems.

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

• Work on core data infrastructure with direct impact on products and business outcomes.
• Hands-on exposure to GenAI and LLM systems in production, not just prototypes.
• High technical standards and a culture of ownership and accountability.
• Steep learning curve and clear path toward senior data engineering responsibilities.
• A scale-up environment combining autonomy, technical depth, and real impact.

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 (< 3 years of experience) with strong quantitative foundations, a pragmatic engineering mindset, and the ambition to grow rapidly into senior technical ownership. You're a great fit if you have:

Background

• 1–2 years of experience in data engineering, software engineering, or a closely related role
• Master's-level education in engineering, computer science, applied mathematics, statistics, or a quantitative field
• Strong analytical and problem-solving skills

Technical Expectations

• Strong proficiency in Python and SQL – ability to write clean, maintainable, production-ready code
• Solid understanding of data modeling, ETL/ELT patterns, and analytics engineering principles
• Familiarity with modern data stacks (cloud data warehouses, orchestration tools; streaming is a plus)
• Initial exposure to distributed systems and production constraints
• Curiosity for, or early hands-on experience with, LLMs, vector databases, and AI-driven systems

Mindset

• Pragmatic and impact-driven: focused on shipping useful, reliable systems
• Versatile: comfortable operating across platforms, pipelines, and product use cases
• Ambitious and high-potential: seeks responsibility, feedback, and rapid progression
• Comfortable in a scale-up environment with evolving processes and high expectations
• Strong communication skills and ability to collaborate in cross-functional teams

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:

• Humility: We recognise that we are always learning, we can always improve and grow - we stay grounded in a clear view of ourselves.
• Curiosity: We continuously seek the "why" behind the "what" - we explore with purpose and practicality.
• Focus: Our curiosity takes us deeper, not wider - we obsess over the details and let pragmatism guide our attention.
• Ambition: We strive for the best - we don't settle for "good enough," - we use common sense to reach higher.

Benefits

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

• Comprehensive Benefits: Depending on your location, you'll enjoy a range of perks such as insurance, meal vouchers, public transport, gym memberships, and more.
• Paris HQ Access: Enjoy a desk at our private office in a well-located WeWork building that will give you access to WeWork perks like rooftop view and designed coworking spaces.
• Coworking Access: You will have access to WeWork spaces throughout Europe, along with all their perks and professional office environments.
• Global Team: Collaborate in English with top-tier talent from 35+ countries, spanning Europe, the UK, the US, and more. Diversity fuels our creativity and innovation.
• Team Gatherings: We value time together beyond the screen. Join us for occasional team gatherings, off-site retreats (Workations as we name them) to connect, recharge, and celebrate.
• Performance Reviews: We're committed to your growth. Every six months, we reflect on your progress, recognize your achievements, and align on clear development goals.
• Equipment Support: From day one, we'll provide everything you need to do your best work, including a home office setup allowance if you're working remotely.

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