AI-First Data Platform Engineer for AI Agents

ITCAN TECHNOLOGY and DIGITAL MARKETING; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

MoonTech, an AI-first workflow company, is seeking a senior Data Engineer to build the data foundation for an agentic platform used by creators and brands. You will own the pipelines, warehouse architecture, and core data models behind creator matching, campaign performance, attribution, and payouts, collaborating with AI and analytics teams in a fast‑growing environment.

This role requires strong SQL, Python, dbt, and cloud experience across GCP/AWS, with a hands-on approach to production data

Qualifications

• 5+ years of experience building and operating production data pipelines in marketplace, e-commerce, affiliate, ad-tech, martech, or high-growth tech company.
• Advanced SQL skills and strong Python experience for building production data pipelines and transformations.
• Strong experience with dbt in production and modern cloud data warehouses. Our primary warehouse is BigQuery.
• Build and own reliable ingestion, transformation, and enrichment pipelines across high-volume campaign, creator, transaction, product, and commercial data.
• Design the core data models consumed by AI agents, product systems, analytics, BI, and machine-learning workflows.
• Build enrichment and embedding pipelines that power creator-brand matching, scoring, recommendation, and retrieval workflows.
• Solve complex identity and entity resolution problems across multiple external systems where creator, customer, campaign, and transaction identifiers may not agree.
• Experience designing stable keys and data models for records arriving from multiple third-party APIs, platforms, and partner systems.
• Model commercial data such as creator rates, commissions, payouts, and campaign terms using slowly changing dimensions to reconstruct historical reporting.
• Hands-on experience with an orchestration platform such as Airflow, Dagster, or Prefect, including scheduling and failure recovery.
• Build data quality, freshness, lineage, and pipeline monitoring to surface issues before they reach customers.

Responsibilities

• Own production data pipelines and warehouse architecture.
• Model data for AI agents, product systems, analytics, and ML workflows.
• Design robust keys and models across multiple APIs and platforms.
• Ensure data quality, lineage, and observability in production pipelines.
• Collaborate with Data Science, BI, Product, and Engineering teams.
• Lead migration of legacy reporting to a modern cloud warehouse.

Skills

Advanced SQL

Python

Tools

dbt

BigQuery

Airflow

Dagster

Prefect

GCP

AWS

Job description

MoonTech, an AI-first workflow company, is seeking a senior Data Engineer to build the data foundation for an agentic platform used by creators and brands. You will own the pipelines, warehouse architecture, and core data models behind creator matching, campaign performance, attribution, and payouts, collaborating with AI and analytics teams in a fast‑growing environment.

This role requires strong SQL, Python, dbt, and cloud experience across GCP/AWS, with a hands-on approach to production data