Data Engineer - Remote

An e-commerce and social marketplace built for the Middle East. We combine livestream shopping, real-time auctions, and social engagement into one automated, data-driven platform.

Customer is looking for a hands-on Lead AI & Data Platform Engineer. This is not a research role and not a digital marketing job. Your mission is to build the data and automation engine that turns marketplace behavioral data into automated growth, smart product recommendations, and advanced personalization.

Responsibilities:

• Data Platform & Warehouse: Architect and manage our central data warehouse (using ClickHouse or similar OLAP databases) and clean data pipelines.

• Event Tracking & Behavioral Data: Design robust event tracking across mobile and web apps to map user journeys (watch time, bids, follows, purchases).

• Growth Data Activation (MarTech): Build automated audience pipelines from the warehouse into marketing platforms (Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API).

• Lifecycle Automation & Personalization: Design behavior-based triggers (e.g., cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

• Practical AI Integration: Deploy production-ready LLM workflows and AI agents for operational needs (seller onboarding, content moderation, automated customer support) with proper cost and evaluation guardrails.

• 7+ years of experience in Data Engineering, Software Engineering, or Data Architecture.

• Strong, production-grade Python and SQL.

• Proven experience building Data Warehouses (OLAP): ClickHouse, BigQuery, Snowflake, or Redshift.

• Experience with Event Tracking & Identity Resolution (e.g., Segment, RudderStack, PostHog).

• Experience with Marketing Automation / Reverse ETL: Connecting data warehouses to CRM/Marketing tools (Braze, Customer.io, Hightouch, Census).

• Practical experience integrating LLMs/RAG into real production systems (not just prompts or demos).

• Excellent communication skills to translate technical trade-offs into business outcomes for non-technical stakeholders.

Nice to Have:

• Experience in E-commerce, Marketplaces, or Consumer Apps.

• Experience with recommendation systems, personalization algorithms, or vector databases.

• Experience with real-time media/streaming metadata (LiveKit, WebRTC). 

• Receive 100% salary from the onboarding date.

• Participate in company activities: Teambuilding, travel, vacation and other activities.

• Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.