Senior Analytics Engineer (Gamedev)

TL;DR

Senior Analytics Engineer (Gamedev): Designing and governing analytical data models and abstraction layers in BigQuery to support monetization, LiveOps, and payment performance. Focus on building reusable datasets, optimizing platform scalability, and establishing data governance standards across cross-functional teams.

Location: On-site in Belgrade or Lisbon.

Company

hirify.global is an integrated commerce, liveops automation, and payments platform for video games, helping studios build direct relationships with players.

What you will do

• Own the governance of analytical data, including metric definitions, lineage, and data quality controls.
• Design and maintain analytical data models in BigQuery across staging, core, and reporting layers.
• Optimize BigQuery performance and cost through efficient modeling, partitioning, and query optimization.
• Define architecture for serving analytical data to BI tools, internal applications, and AI-driven workflows.
• Partner with engineering teams to establish data contracts and improve dataset reliability.
• Translate business requirements from product, monetization, and finance teams into scalable data solutions.

Requirements

• 5+ years of experience in data analytics, product analytics, or analytics engineering.
• Strong hands-on experience with BigQuery and GCP in production environments.
• Advanced SQL skills and practical experience building analytical models or reusable marts.
• Hands-on experience using Python for analysis, validation, and workflow support.
• Proven experience with data governance, including source-of-truth design and data contracts.
• Experience designing data abstraction layers (raw/staging/core/marts).
• Strong domain experience in monetization, LiveOps, e-commerce, or behavioral product analytics.

Nice to have

• Experience in gaming, mobile gaming, or F2P environments.
• Experience with Looker or Looker Studio.
• Experience implementing semantic-layer technologies like Cube.js.
• Experience supporting AI/LLM-related data consumption use cases.
• Previous people management or team leadership experience.

Culture & Benefits

• Work alongside a world-class team of professionals from around the globe.
• High-growth environment where ideas reach customers in days.
• Strong culture of autonomy, ownership, and initiative.
• Access to modern tools, AI, and automation in everyday work.
• Equity participation in the company's long-term success.