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.

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.

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.

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.

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 valu