Analytics Engineer (Middle)

Join our innovative tech company, a leader in developing cutting‑edge free‑to‑play (F2P) mobile games enjoyed by millions every month. We value a friendly, inclusive culture that encourages creativity, learning, and collaboration. You’ll work with a multinational team building engaging products and delivering great player experiences.

Job Description

We are looking for a Software Engineer for Infrastructure Projects. We build mobile games. User acquisition, monetization, LiveOps and product decisions all run on data — and this role owns the modeling layer everything else depends on: the data marts, metric definitions and semantic layer behind reporting, ad-hoc analysis and our AI-driven tools.

Key Responsibilities

• Design and maintain the analytical transformation layer — staging, core and mart models that are modular, incremental, tested, documented and version-controlled
• Establish engineering standards for analytics code: transformation tooling, testing, code review and CI
• Own metric definitions across sources. Reconcile granularity, attribution windows and naming so ROAS, cohort LTV, retention, ARPDAU and spend mean one thing company-wide
• Build the analytical datasets behind dashboards and reports on UA, monetization, creative performance and incrementality
• Make data self-serve: model and document datasets so product, UA and monetization teams can answer their own questions
• Own data quality for the models in scope — tests, freshness and consistency monitoring, source-to-source reconciliation
• Build the data access layer for AI agents: semantic descriptions, curated query interfaces, guardrails, and evaluation of agent output against trusted data
• Optimize analytical workloads for query performance and cost

Requirements

• 3–5+ years in analytics engineering, BI development or data engineering, with production ownership of a transformation layer
• Strong SQL. ClickHouse experience preferred — window functions, arrays, materialized views, AggregatingMergeTree. Deep Postgres, BigQuery or Snowflake experience is welcome if you’re keen to go deep on ClickHouse
• Hands-on production experience with a transformation framework — dbt, SQLMesh, Dataform or equivalent — including modular models, testing, documentation and CI
• Solid analytical data modeling judgment — knowing when a wide event or user-level table beats a star schema, and why
• Ability to turn an ambiguous business question into a data model through conversation with stakeholders
• Git, code review, and enough Python to automate your own work

Preferred Qualifications

• Experience with mobile games or apps and fluency in their core metrics — D7 ROAS, cohort LTV, ARPDAU, retention curves — and why numbers differ between sources
• Practical experience with AI/LLM tools in a data context: text-to-SQL, RAG over structured data, MCP or similar agent integrations, evaluation of model outputs
• Orchestration tools (Airflow, Dagster or similar)
• Superset or a comparable BI platform

Working Conditions

Schedule

• Full‑time with flexible hours; remote

Benefits

• Work on global F2P projects reaching millions monthly
• Involvement across all stages of product development
• Remote work and flexible schedules
• KPI‑ and success‑based bonuses
• Career growth in an international setting
• Paid conferences, training, and workshops
• Support for key life events (one‑time assistance options)
• Referral program
• Access to mental health sessions with psychologists
• Participation in charitable initiatives

Application Process

Please submit your resume and a brief cover letter via our Careers page or job@zimad.com.

Selection Stages

Screening call – interviews with the teams – final interview

Are you passionate about your work and ready to grow? Join the ZiMAD team and let’s create exceptional games together!