Staff Analytics Engineer Product Data Instrumentation📣 Job Ad

About the Role

Salla is seeking a Staff Analytics Engineer - Product Data Instrumentation to take ownership of event instrumentation and behavioural data. This senior individual-contributor role involves defining Salla's event taxonomy, tracking plans, schemas, and identity model, alongside ensuring their trustworthiness through validation. The successful candidate will integrate directly into the engineering development lifecycle, collaborating with Product teams to ensure every behavioural metric is deliberately designed, documented, and monitored from its inception.

Key Responsibilities

• Design, develop, and maintain data models and transformation pipelines.
• Collaborate with cross-functional stakeholders to understand data requirements and build scalable solutions.
• Ensure data quality and consistency through rigorous testing, validation, and monitoring practices.
• Proactively identify and resolve data issues.
• Maintain and document the data warehouse structure, data dictionary, and lineage.
• Define and enforce data modeling best practices.
• Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights.
• Improve developer experience across the data stack by automating workflows and simplifying data discovery.

Required Qualifications and Experience

• A minimum of 6 years of experience in analytics engineering, data engineering, product analytics infrastructure, or software engineering.
• At least 3 years directly owning event instrumentation and tracking.
• Proven track record in designing an event taxonomy and tracking plan from scratch, coupled with driving adoption across engineering teams.
• Hands-on experience with event collection or CDP platforms (*, Segment, Jitsu) and product analytics platforms (*, Amplitude, Mixpanel, PostHog, GA4).
• Strong software engineering fundamentals and production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go, or Python, sufficient for reviewing tracking pull requests.
• Expert SQL skills and hands-on dbt experience, including modeling high-volume event data in columnar warehouses (*, ClickHouse, BigQuery, Snowflake).
• Working knowledge of streaming architecture (*, Kafka), including delivery semantics, idempotency, deduplication, and handling late-arriving data.
• Experience with server-side tagging, consent management, and privacy regulation.
• A clear and defensible perspective on identity resolution, sessionisation, and cross-platform stitching.
• Demonstrated ability to influence engineering teams without direct authority, alongside excellent written communication skills.

Preferred Qualifications

• Proficiency in Arabic.
• Experience working in the GCC region.
• Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms.
• Depth in mobile instrumentation, including native SDKs, install attribution, deep links, and offline buffering.
• Familiarity with tracking-plan governance or event observability tooling (*, Avo, Segment Protocols, Trackingplan).

Work Type and Compensation

This is a full-time position. Salary details will be discussed during the interview process.