Senior On-Chain Data Engineer
Hermeneutic Investments London, United Kingdom Job Overview We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics. This is an opportunity to: Work with complex blockchain datasets across multiple chains and L2s. Build dashboards and reports to support trading strategies. Create data-driven signals and metrics to inform decision-making. Collaborate with top researchers and traders in the crypto space. This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics. Responsibilities Data Pipelines and Infrastructure: Build and optimize scalable pipelines for ingesting and transforming blockchain data. Design and maintain Snowflake data warehouses for high-volume blockchain datasets. Use DBT to implement efficient data transformation workflows. Ensure cross-chain data consistency and quality with rigorous validation processes. On-Chain Data Analysis: Extract, clean, and process blockchain data from L1s, L2s, and cross-chain protocols. Work with logs, events, smart contract interactions, and transaction-level data. Analyze activity related to DeFi protocols, token flows, liquidity dynamics, and wallet activity. Use tools like The Graph and Dune Analytics for querying blockchain data. Collaborate with Researchers: Partner with on-chain researchers to design datasets and metrics for alpha generation. Develop indicators, wallet attribution models, and analytics to support trading ideas. Build dashboards and visualizations to make on-chain datasets accessible and useful for research. Python Development: Write scripts for data extraction, cleaning, and transformation. Support real-time blockchain event monitoring and integration with research workflows. Utilize Web3 libraries (e.g., Web3.py) to interact with blockchain RPCs and APIs. Qualifications Strong experience with Snowflake for data warehousing and DBT for data modeling and transformation. Proven ability to design and maintain scalable pipelines for large datasets. In-depth knowledge of blockchain architectures, event logs, and DeFi protocols. Hands-on experience working with blockchain RPCs, indexers (e.g., The Graph, Dune Analytics), and smart contract data. Familiarity with tokenomics, liquidity pools, cross-chain protocols, and transaction-level data. Ability to collaborate with researchers to design and deliver data-driven insights. Experience working on wallet attribution, on-chain metrics, and actionable signals. Strong understanding of DeFi ecosystems and blockchain-specific trading dynamics. Proficiency in Python for data processing and pipeline development. Familiarity with Web3 libraries like Web3.py or Ethers.js is a plus. Interview Process 1st round: Technical and cultural screening by Senior Blockchain Researcher 2nd round: Screening by Senior Blockchain Researcher and/or Engineering project 3rd round: Discussion with Senior Blockchain Researchers about project
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Hermeneutic Investments London, United Kingdom Job Overview We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics. This is an opportunity to: Work with complex blockchain datasets across multiple chains and L2s. Build dashboards and reports to support trading strategies. Create data-driven signals and metrics to inform decision-making. Collaborate with top researchers and traders in the crypto space. This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics. Responsibilities Data Pipelines and Infrastructure: Build and optimize scalable pipelines for ingesting and transforming blockchain data. Design and maintain Snowflake data warehouses for high-volume blockchain datasets. Use DBT to implement efficient data transformation workflows. Ensure cross-chain data consistency and quality with rigorous validation processes. On-Chain Data Analysis: Extract, clean, and process blockchain data from L1s, L2s, and cross-chain protocols. Work with logs, events, smart contract interactions, and transaction-level data. Analyze activity related to DeFi protocols, token flows, liquidity dynamics, and wallet activity. Use tools like The Graph and Dune Analytics for querying blockchain data. Collaborate with Researchers: Partner with on-chain researchers to design datasets and metrics for alpha generation. Develop indicators, wallet attribution models, and analytics to support trading ideas. Build dashboards and visualizations to make on-chain datasets accessible and useful for research. Python Development: Write scripts for data extraction, cleaning, and transformation. Support real-time blockchain event monitoring and integration with research workflows. Utilize Web3 libraries (e.g., Web3.py) to interact with blockchain RPCs and APIs. Qualifications Strong experience with Snowflake for data warehousing and DBT for data modeling and transformation. Proven ability to design and maintain scalable pipelines for large datasets. In-depth knowledge of blockchain architectures, event logs, and DeFi protocols. Hands-on experience working with blockchain RPCs, indexers (e.g., The Graph, Dune Analytics), and smart contract data. Familiarity with tokenomics, liquidity pools, cross-chain protocols, and transaction-level data. Ability to collaborate with researchers to design and deliver data-driven insights. Experience working on wallet attribution, on-chain metrics, and actionable signals. Strong understanding of DeFi ecosystems and blockchain-specific trading dynamics. Proficiency in Python for data processing and pipeline development. Familiarity with Web3 libraries like Web3.py or Ethers.js is a plus. Interview Process 1st round: Technical and cultural screening by Senior Blockchain Researcher 2nd round: Screening by Senior Blockchain Researcher and/or Engineering project 3rd round: Discussion with Senior Blockchain Researchers about project
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