Senior Data Engineer

📋 Description

• Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse
• Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI
• Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and
• Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD
• Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing
• Govern & Refine: Help implement data quality standards, access controls, and data governance

🎯 Requirements

• 3+ years in data engineering, with a track record of building, maintaining, and optimizing
• Strong proficiency in Python and SQL
• Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data
• A strong curiosity to stay up to date with modern data industry standards, technologies, and best
• Professional fluency in English

🎁 Benefits

• Tailored Onboarding: A personalized 30/60/90-day plan with 1:1 mentorship from an experienced team
• High-Impact Work: Direct influence over platform architecture, data governance, and core business
• Collaborative Culture: A supportive environment where data modeling reviews, knowledge sharing, and