Senior Blockchain Data Analyst & Researcher (Web3)

Blockchain Data Analyst & Researcher

Company

Lukka

Conditions

20 hours agoSenior Poland (Remote) Remote Contract Data Science Jobs by Lukka

Lukka Lukka provides enterprise software and data solutions for the crypto asset ecosystem. c/o Stellar Corporation Services LLC, 3500 South DuPont Highway, Dover, DE 19901, United States Funding Unknown Series E ($110M) Series A ($8M) Investors CrossCoin Ventures Hard Yaka Liberty City Ventures Fenbushi Capital james-pallotta Projects Enterprise Tax and Business Reporting FinOps Tooling Lukka Reference Data Data Lukka Blockchain Investigator Onchain Compliance and Investigations Lukka Prime Pricing Data API Lukka Insights Data Terminal Enterprise Data Management Developer Tooling Blockchain Analytics Onchain Compliance and Investigations LukkaTax for Professionals Tax tooling & Accounting Data Products Pricing Data API About Lukka Lukka offers comprehensive data and software solutions for businesses dealing with crypto assets. Founded in 2014, the company bridges the gap between complex blockchain data and traditional business needs. Lukka's products include data management, financial reporting, pricing data, and blockchain analytics tools, all adhering to institutional standards like AICPA SOC controls View jobs by Lukka

Skills

Ai Apache Flink Apache Hudi Apache Iceberg Apache Ignite Aws S3 Blockchain Caching Data Lakehouse Data Modeling Data-Pipelines Data Quality Dbt Defi Etl Hazelcast Json-Rpc Machine Learning On-Chain Data Pandas Polars Pyspark Python Rds Redis Rest Api Scikit-Learn Smart Contract Spark Sql Spark Streaming Sql Websocket Api

About the Role

You will research the internals of blockchain networks, reverse-engineer DeFi protocols, and translate complex on-chain interactions into structured, production-ready data. You will architect intuitive data models, design schemas for new blockchains, and build SQL/dbt models that deliver accurate metrics such as TVL, volume, and fees. You will define data quality standards, filter out wash trading, bot activity, and Sybil attacks, and build scalable real-time pipelines using tools like Flink, Spark Streaming, and data lakehouse platforms. You will write advanced SQL and Python to process large, semi-structured datasets, and use APIs and node queries to ingest external data.

Requirements

• 3+ years of hands-on experience in Data Science, Data Engineering, or a hybrid role
• Blockchain or crypto analytics background, with familiarity with on-chain data structures, transaction semantics, and asset classification
• Experience building and operating real-time data pipelines with Apache Flink or Spark Streaming
• Experience managing large-scale data lakehouses with Apache Iceberg or Apache Hudi
• Experience with AWS S3 and RDS
• Proficiency in Spark SQL and PySpark
• Familiarity with data grid technologies such as Hazelcast, Apache Ignite, or Redis
• Advanced SQL skills including window functions, query plan analysis, and performance tuning
• Proficiency in Python with Pandas, Polars, and Scikit-learn
• Experience architecting high-throughput ingestion pipelines using REST APIs, WebSocket APIs, and JSON-RPC node queries
• Strong understanding of ETL fundamentals and schema mismatches
• Systematic approach to debugging and root-cause analysis
• Comfort working with large, semi-structured, or undocumented data sources

Responsibilities

• Research blockchain protocols and their internals
• Reverse-engineer DeFi smart contracts and on-chain interactions
• Architect data models and schemas for blockchain data
• Index new blockchains and expand ecosystem coverage
• Map, cleanse, and normalize raw on-chain data into structured datasets
• Define key metrics such as TVL, volume, and fees
• Filter out wash trading, bot activity, and Sybil attacks
• Build production-grade SQL/dbt models and data pipelines
• Maintain data quality and integrity across analytics and machine learning systems

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