Blockchain Data Analyst, Researcher

Lukka

Blockchain Data Analyst & Researcher focusing on data intelligence for decentralized finance. Engaging in complex blockchain data analysis and DeFi protocol engineering for innovative insights.

Posted 7/25/2026contractRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Science and Data Engineering with a strong focus on blockchain analytics, real-time data pipeline architecture, and advanced SQL querying. Proficient in leveraging generative technologies and AI to enhance data quality and uncover valuable insights from complex on-chain data.

Highest-signal resume keywords

Data ScienceBlockchain AnalyticsReal-Time Data PipelinesSQL Advanced Query WritingETL Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonApache FlinkApache SparkApache IcebergApache HudiScikit-learnData WranglingETL

Soft Skills

Systematic DebuggingProblem Solving

Tools & Technologies

AWS Data PlatformRDSData Grid TechnologiesPandasPolars

Industry Keywords

BlockchainDeFiOn-Chain DataCrypto AnalyticsData Lakehouse

Tech Stack

Tools & technologies

ApacheAWSETLNode.jsPandasPySparkPythonRedisScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Maintain an AI-native and blockchain-forward mindset, proactively leveraging emerging trends and generative technologies to stay at the vanguard of the crypto revolution while maximizing work efficiency and uncovering novel, high-alpha data opportunities.
Architect Intuitive Data Models: Turn the messiness of on-chain data into elegant, unified abstractions.
Deconstruct DeFi Mechanics: Get under the hood of DeFi protocols. You'll reverse-engineer smart contracts and on-chain events, translating complex interactions into clean, production-grade SQL/dbt models.
Scale Our Ecosystem Coverage: Lead the charge in indexing new blockchains. You’ll design the schemas that transform raw chain data into our internal "source of truth," ensuring every block is captured with 100% accuracy.
Engineer Signal from Noise: Define the metrics that matter (TVL, Volume, Fees). You’ll be the gatekeeper of data quality, proactively identifying and filtering out wash trading, bot activity, and Sybil attacks.

Requirements

What you’ll need

3+ years hands-on in Data Science, Data Engineering, or a hybrid role
Blockchain or crypto analytics background strongly preferred, familiarity with on-chain data structures, transaction semantics, and asset classification
Streaming & Lakehouse Apache Flink or Spark Streaming building and operating real-time data pipelines
Apache Iceberg or Apache Hudi managing large-scale Data Lakehouses with schema evolution, time travel, and ACID guarantees over petabytes of raw blockchain data
AWS Data Platform S3 for scalable data lake storage
RDS for structured relational workloads
Spark SQL and PySpark for interactive querying and ad-hoc analysis
Familiarity with Data Grid technologies (e.g. Hazelcast, Apache Ignite, Redis) for high-throughput, low-latency data access patterns
SQL advanced query writing, window functions, query plan analysis, performance tuning at scale
Python Pandas, Polars for data wrangling
Scikit-learn for model development
Proficient in architecting high-throughput ingestion pipelines that leverage external data sources REST/WebSocket APIs, JSON-RPC node queries
Strong grasp of ETL fundamentals (extract, transform, load), including managing schema mismatches between heterogeneous sources and destinations
Systematic approach to debugging: reproducing issues, isolating root cause, validating fixes
Comfortable working with large, semi-structured, or undocumented data sources.

Benefits

Comp & perks

opportunity to work directly on data for digital assets, an industry-leading product with well-known clients.
working with multiple AI solutions daily.
exposure to both technical problem-solving and customer-facing challenges.
a growing Poland-based team with direct collaboration across US and global stakeholders.
a startup-style culture where your impact is visible every day.