Senior Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇦🇪 United Arab Emirates (UAE) – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ITCAN Technology and Digital Marketing

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

ITCAN Technology is a full-service technology and digital marketing company that empowers online retailers and e-commerce businesses in the GCC region. With a focus on performance marketing, ITCAN offers a range of services including digital marketing strategies, influencer marketing, technology development, UI/UX design, and business intelligence consulting. The company leverages its insights and expertise to drive exponential growth and enhance customer interactions for its clients.

📋 Description

• Build MoonTech’s AI-native data foundation from the ground up • Own pipelines, warehouse architecture, and core data models for creator matching, campaign performance, transaction attribution, payouts, and AI-driven decision-making • Build and own ingestion, transformation, and enrichment pipelines across high-volume campaign, creator, transaction, product, and commercial data • Design core data models consumed by AI agents, product systems, analytics, BI, and machine-learning workflows • Build enrichment and embedding pipelines powering creator-brand matching, scoring, recommendation, and retrieval workflows • Solve identity and entity resolution problems across multiple external systems • Model commercial data including creator rates, commissions, payouts, and campaign terms using slowly changing dimensions • Build data quality, freshness, lineage, and pipeline monitoring • Treat testing, monitoring, documentation, and observability as part of production infrastructure • Migrate and consolidate legacy reporting and data systems into the modern cloud warehouse • Operate and evolve data infrastructure across GCP and AWS • Support data consumers including ML models, embeddings, vector stores, recommendation systems, and autonomous agents • Report to the Data Products Lead and collaborate with Data Science, BI, Product, and Engineering teams • Help determine data-platform architecture, rebuild priorities, retirements, and the reliable data foundation for MoonTech’s agentic platform

🎯 Requirements

• 5+ years of experience building and operating production data pipelines, ideally in a marketplace, e-commerce, affiliate, ad-tech, martech, or high-growth technology company • Advanced SQL skills • Strong hands-on Python experience for building production data pipelines and transformations • Strong production experience with dbt and modern cloud data warehouses • Experience designing stable keys and data models for records arriving from multiple third-party APIs, platforms, and partner systems • Hands-on experience with Airflow, Dagster, or Prefect, including dependency management, retries, backfills, scheduling, and failure recovery • Experience operating production infrastructure in GCP, AWS, or both • Comfortable designing and executing migrations while maintaining business continuity and validating historical reporting accuracy • Understanding of data infrastructure requirements for ML models, embeddings, vector stores, recommendation systems, and autonomous agents • Active use of AI coding assistants, LLMs, or agents in engineering workflows, with the ability to explain their impact • Comfortable working in an evolving environment where schemas, systems, and requirements are still being designed • Strong production ownership • Nice to have: background in influencer marketing, affiliate marketing, e-commerce, marketplaces, performance marketing, or ad-tech • Nice to have: experience with creator, campaign, attribution, conversion, or transaction-level datasets • Nice to have: experience building ML data infrastructure, including feature pipelines, embeddings, vector databases, or retrieval systems • Nice to have: hands-on entity resolution or identity graph experience • Nice to have: experience completing a warehouse, cloud, or major data-platform migration in production • Nice to have: experience supporting AI agents or agentic workflows • Nice to have: GCC or MENA market experience