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Senior Data Engineer

Summary

Design and build scalable data pipelines and infrastructure for FAR AI, a distributed GPU inference network, integrating data from gaming platforms and AI systems.

Senior Data Engineer

01. ABOUT THE COMPANY

Dizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products — including Farcana 2.0, Gamed, and FAR Labs — each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build — from infrastructure to product decisions.

02. ABOUT THE ROLE

FAR Labs is building FAR AI, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.

We’re looking for aSenior Data Engineer to design and build scalable data infrastructure — from pipelines to analytics layers.

03. WHO YOU ARE

  • Data Infrastructure Expert
    You build reliable, scalable data pipelines.
  • System Thinker
    You understand how data flows across products and systems.
  • Performance-Focused
    You optimise for speed, scale, and accuracy.
  • Product-Aware
    You understand how data drives decisions.

04. RESPONSIBILITIES

  • Build and maintain data pipelines and ETL processes.
  • Design data architecture for scalability and reliability.
  • Integrate data from multiple sources (products, AI systems, platforms).
  • Ensure data quality, consistency, and availability.
  • Support analytics and reporting systems.

05. REQUIREMENTS

  • Strong experience in Data Engineering.
  • Experience with Python, SQL, and data processing tools.
  • Experience with data warehouses (BigQuery, Snowflake, etc.).
  • Experience with streaming and batch processing.
  • Strong understanding of data modelling.

07. WHAT WE OFFER

  • Real ownership and direct impact on a global AI infrastructure product.
  • Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.
  • Exposure to cutting-edge AI, gaming platforms, and digital asset economies.
  • Competitive salary with performance-based incentives.
  • 24 days annual leave, plus public holidays.
  • Health insurance.
  • Modern office in Yas Creative Hub.
  • Continuous learning through real-world problem solving — not just theory.
  • The opportunity to shape what you're working on and influence product direction.
  • A diverse, open-minded team where ideas are genuinely heard.

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