Senior Data Engineer

Responsibilities

• Build and own reliable ingestion, transformation, and enrichment pipelines across high-volume campaign, creator, transaction, and product data
• Design core data models consumed by AI agents, product systems, analytics, BI, and machine-learning workflows
• Build enrichment and embedding pipelines for creator-brand matching and recommendation workflows
• Solve complex identity and entity resolution problems across multiple external systems
• Implement data quality, freshness, lineage, and pipeline monitoring
• Execute migrations and consolidation of legacy reporting systems into modern cloud warehouses

Requirements

• 5+ years of experience building and operating production data pipelines in high-growth technology companies
• Advanced SQL skills and strong hands-on Python experience
• Strong experience with dbt in production and modern cloud data warehouses (primarily BigQuery)
• Hands-on experience with orchestration platforms such as Airflow, Dagster, or Prefect
• Experience operating production infrastructure in GCP, AWS, or both
• Ability to use AI coding assistants and LLMs to accelerate engineering output

Preferred Qualifications

• Background in influencer marketing, affiliate marketing, e-commerce, or ad-tech
• Experience building data infrastructure for ML systems, including feature pipelines and vector databases
• Experience with entity resolution or identity graphs
• GCC or MENA market experience

About the Company

MoonTech is an AI-first, agentic workflow company transforming influencer performance marketing through autonomous AI agents. Their platform automates the entire campaign lifecycle, enabling brands to scale creator campaigns with guaranteed conversions and measurable ROI.