Senior Data Engineer

Biconomy empowers Web3 developers to build seamless, user-friendly dApps that work effortlessly across multiple blockchains. Our battle-tested modular account and execution stack eliminates traditional UX friction points, helping projects accelerate user adoption while reducing development costs. By processing over 70 million transactions across the 300+ dApps we've served, we're powering the future of onchain economies.The Role – Powering the Next Generation of Real-Time Market IntelligenceHyperSignals is Biconomy’s high-throughput analytics engine, designed to extract millisecond-level insights from both on-chain activity and centralized exchange (CEX) trading flows. Our mission is to equip traders and protocols with alpha-rich signals across spot and perpetual futures markets.As a Data Engineer, you’ll play a foundational role in building and scaling the infrastructure that powers HyperSignals. From ingesting terabytes of blockchain and CEX data to delivering analysis-ready datasets for our quant and product teams, you'll help create the data backbone of a truly cutting-edge trading intelligence system.What You Will Be DoingDesign, build, and maintain streaming and batch ETL pipelines for on-chain sources across EVM, Solana, Sui, Starknet, and moreDevelop NLP and sentiment pipelines for off-chain sources (Binance, Bybit, social platforms) to extract actionable market signalsNormalize and unify disparate market data schemas (order books, trades, liquidations, funding rates) into a single analytics model for perpetualsImplement low-latency ingestion systems using Kafka, Kinesis, PubSub, WebSockets, or Firehose, with exactly-once guaranteesBuild and optimize lakehouse/warehouse layers (Iceberg, Delta, Snowflake, BigQuery) with Z-ordering, partitioning, and materialized viewsEnforce data quality and observability using dbt tests, Great Expectations, and OpenTelemetryCollaborate with quants and backend engineers to deliver data via GraphQL/REST APIs and feature storesContinuously optimize performance, cost, and scalability across AWS/GCP infrastructureRequirements4+ years of experience as a Data Engineer in high-throughput environments such as trading, crypto, or fintechExpert-level Python (pandas, pyarrow, asyncio) and SQL skills, with strong fundamentals in algorithms and distributed systemsProven experience with streaming frameworks (Flink, Spark Structured Streaming, Kafka Streams) and message buses (Kafka, Kinesis, Pulsar)In-depth understanding of blockchain data structures (blocks, receipts, logs), indexers (The Graph, Substreams), and node/RPC infrastructureFamiliarity with CEX market APIs (REST & WebSocket) and mechanics of perpetual futures (funding, mark price, open interest, liquidations)Proficient in cloud-native development (AWS or GCP), including IaC (Terraform/CDK), CI/CD, and container orchestration (EKS/GKE)A strong track record of building and owning production systems end-to-end, with clear documentation and operational rigorPassionate about perpetual futures and market microstructure—you don’t need to be a trader, but curiosity is keyWhat We OfferFlexible Working Hours – Enjoy autonomy over your scheduleGenerous Vacation Policy – 25 days vacation per year plus public holidaysCompetitive Salary – With regular performance reviewsToken Allocation – Be rewarded with tokens as part of our compensation packageGrowth Opportunities – Be part of an exciting new project with significant career growth potentialInnovative Work Culture – Join a team that’s at the cutting edge of Web3, AI, and DeFi, and help shape the future of the digital economyFun and Engaging Team Activities – Game nights, virtual celebrations, and work retreats to keep things exciting

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