Staff Analytics Engineer - Product Data Instrumentation

Requirements

• 6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including at least 3 years directly owning event instrumentation and tracking.
• Proven track record designing an event taxonomy and tracking plan from scratch, and driving genuine adoption across engineering teams
• Hands-on experience with event collection or CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4)
• Strong software engineering fundamentals, enough production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go or Python to meaningfully review an engineer's tracking pull request.
• Expert SQL and hands-on dbt, with experience modelling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).
• Working knowledge of streaming architecture (Kafka or equivalent), including delivery semantics, idempotency, deduplication and late-arriving data
• Experience with server-side tagging, consent management, and privacy regulation.
• A clear, defensible point of view on identity resolution, sessionisation, and cross-platform stitching.
• Demonstrated ability to influence engineering teams without authority, and excellent written communication.
• Nice to Have
• Proficiency working in Arabic
• Experience working in the GCC
• Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms
• Depth in mobile instrumentation (native SDKs, install attribution, deep links, offline buffering)
• Familiarity with tracking-plan governance or event observability tooling (Avo, Segment Protocols, Trackingplan or similar)