We’re looking for a Data Engineer to work across the Growth and Product teams and become the data backbone that powers opportunity identification across Aave’s ecosystem. You’ll build and maintain the dashboards, pipelines, and data infrastructure that enable the teams to spot growth opportunities, track product performance, and make data-driven decisions at scale.
You’ll build the infrastructure to surface insights and ensure data reliability across the organization. A strong understanding of DeFi mechanics is essential: you need to know what to look for, not just how to query it. You’ll work closely with growth and product stakeholders to ensure the right data is available, reliable, and actionable. An interest in LLMs and how they can be applied to data workflows and insight generation is important as we continue to explore AI-driven approaches.
How you can make an impact:
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
Let's connect if you have:
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 have:
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
Aave Labs London, England Office
9 Pembridge Road, , , GB, London, England, United Kingdom, W11 3JY
