Data Engineer

Aave Labs

4d

About The Position

Aave Labs is seeking a Data Engineer to collaborate with the Growth and Product teams. This role will be responsible for building and maintaining the data infrastructure, including dashboards and pipelines, to support opportunity identification, performance tracking, and data-driven decision-making across Aave's ecosystem. The ideal candidate will possess a strong understanding of DeFi mechanics, be adept at querying and analyzing data, and have an interest in applying LLMs to data workflows. This position is crucial for ensuring data reliability and accessibility throughout the organization, enabling teams to make informed decisions at scale.

Requirements

• 3+ years of experience in data engineering roles
• Strong proficiency in SQL and Python for data pipeline development and analysis
• Experience building and maintaining dashboards (Dune, Metabase, Looker, or similar)
• Deep understanding of DeFi protocols, onchain data structures, and blockchain analytics
• Experience designing and maintaining ETL/ELT pipelines at scale
• Interest in LLMs and AI-assisted data tooling
• Excellent communication skills. You can present data insights to non-technical stakeholders
• Collaborative mindset with low ego. You’re comfortable working across teams and adapting to shifting priorities

Nice To Haves

• Experience with real-time data streaming
• Background in data engineering at a DeFi protocol or crypto-native company
• Familiarity with Aave Protocol mechanics, GHO, or related DeFi ecosystems

Responsibilities

• Design, build, and maintain dashboards that track key metrics across Aave’s protocol ecosystem
• Create and manage data pipelines that process onchain and offchain data sources
• Build data infrastructure that enables the growth and product teams to identify opportunities
• Develop automated reporting frameworks for growth KPIs and product performance metrics
• Explore and integrate LLM-powered tooling to accelerate data analysis and insight generation
• Proactively identify emerging trends, risks, and opportunities from data patterns
• Collaborate with growth, product, and protocol teams to define the metrics that matter
• Ensure data quality, reliability, and accessibility across the organization

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed