Senior Data Engineer

📋 Description

• Lead design, development, and deployment of scalable cloud-native data pipelines and platforms for
• Build production-grade data solutions on public clouds (GCP, AWS, Azure).
• Collaborate with Analytics, Strategy, and Data Science teams across EMEA and MENA.
• Mentor engineers, drive code and design reviews, and upskill the team on cloud data engineering
• Design and implement end-to-end ingestion from sources (CM360, GA4, Meta, TikTok, CRM) into cloud
• Architect data models with dbt or Dataform and write advanced SQL for large datasets in modern

🎯 Requirements

• Bachelor’s or Master’s in a quantitative/technical field.
• 3+ years data engineering or analytics engineering experience.
• Experience deploying cloud solutions on GCP or AWS.
• Cloud certifications (e.g., GCP Professional Data Engineer, AWS Data Engineer) or equivalent.
• Strong SQL and Python, data warehousing and ETL/ELT concepts.
• Expertise with dbt or Dataform for data modeling; familiarity with

🎁 Benefits

• Competitive compensation; equity options may apply.
• Dynamic, AI-forward work environment; opportunities to impact marketing tech stack.
• Hybrid/remote-friendly culture with emphasis on collaboration and growth.