Senior Data Engineer

Biconomy; United Arab Emirates; Remote; AED 100,000 - 140,000; Full time

Job summary

A leading Web3 technology firm is seeking a Senior Data Engineer to architect and build scalable data infrastructure. You will work on real-time data systems and contribute to the development of complex trading applications. The ideal candidate has over 4 years of experience in data engineering and strong skills in Python or Scala. This position offers flexible working hours, a generous vacation policy, and significant growth opportunities.

Benefits

Flexible Working Hours

Generous Vacation Policy

Competitive Salary

Token Allocation

Growth Opportunities

Innovative Work Culture

Fun and Engaging Team Activities

Qualifications

• 4+ years of professional data engineering or backend engineering experience.
• Strong proficiency in Python or Scala.
• Deep understanding of distributed computing and pipeline orchestration.
• Hands-on experience with big data technologies.
• Experience integrating with exchange APIs.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop systems to handle order books and trades in real time.
• Ensure data quality and reliability across pipelines.
• Collaborate with teams to deliver datasets and APIs.
• Build internal data tools for teams to extract insights.

Skills

Data engineering fundamentals

Python or Scala

Big data technologies

SQL and NoSQL databases

Real-time data integration

Tools

Spark/PySpark

Kafka

Flink

Job description

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 Intelligence

HyperSignals is Biconomy’s high-performance analytics and trading platform. Our goal is simple but ambitious: turn fragmented market data into actionable, onchain trading strategies across spot and perpetual futures.

We’re looking for a Senior Data Engineer to architect, build, and scale the data infrastructure that powers this system end to end. You’ll work across ingestion pipelines, streaming systems, internal data models, and distributed storage to create a unified data backbone that serves traders, quants, and product teams. Your work will directly influence execution, predictive modeling, and strategy deployment for a new class of decentralized trading applications.

What You Will Be Doing

• Design, build, and maintain scalable data pipelines that ingest, transform, and process high-volume market and onchain data in real time.

• Develop streaming and event-driven systems that handle order books, trades, liquidations, funding rates, and market microstructure signals with low latency.

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• Architect and deploy distributed data storage solutions (data lakehouse, real-time stores, analytical DBs) that become the single source of truth for HyperSignals.

• Ensure strong data quality, observability, and reliability across all pipelines — including validation layers, monitoring, and automated recovery.

• Collaborate with product, quant, and engineering teams to deliver models, datasets, and APIs that power trading execution, risk analysis, and strategy tooling.

• Build internal data tools and self-service interfaces to empower teams to explore, analyze, and extract insights from massive datasets.

• Stay ahead of the curve on data infrastructure, real-time architectures, DeFi data flows, and new indexing technologies to ensure HyperSignals remains best-in-class.

Requirements

• 4+ years of professional data engineering or backend engineering experience, ideally supporting high-volume or low-latency systems.

• Strong proficiency in Python or Scala, with production experience building ETL/ELT pipelines and streaming workflows.

• Deep understanding of data engineering fundamentals: distributed computing, event-driven designs, schema design, data modeling, and pipeline orchestration.

• Hands-on experience with big data technologies (Spark/PySpark, Flink, Kafka, Kinesis, Presto/Athena, or similar).

• Solid SQL skills and fluency with both SQL and NoSQL databases.

• Experience integrating with exchange APIs, WebSocket feeds, or other real-time data sources.

• Familiarity with perpetual futures, market microstructure, or DeFi trading data is a strong plus.

• Proven track record of shipping reliable, scalable data systems in production.

What We Offer

• Flexible Working Hours – Enjoy autonomy over your schedule

• Generous Vacation Policy – 25 days vacation per year plus public holidays

• Competitive Salary – With regular performance reviews

• Token Allocation – Be rewarded with tokens as part of our compensation package

• Growth Opportunities – Be part of an exciting new project with significant career growth potential

• Innovative Work Culture – Join a team that’s at the cutting edge of Web3, AI, and DeFi, and help shape the future of the digital economy

• Fun and Engaging Team Activities – Game nights, virtual celebrations, and work retreats to keep things exciting