National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer - DeFi

Crypto Recruit
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

As a Data Pipeline Engineer, you would have a hand in the design, implementation, deployment, and support of our company's Data Service project. As a member of the Data Service team, you will work on foundational data infrastructure.

You’d optimize the company's external visibility and assist various 3rd party sources to leverage our Data Service. You’d help architect real-time microservices that capture the company's blockchain events and build systems that provide support to our external API services where users can monitor network health and other various analytics over time.

As a company team member, you would be responsible for creating technically viable software with a team of senior engineers specializing in DevOps, distributed systems, system architecture, testing, and other related fields. You would be collaborating with some of the most diligent minds in the cryptocurrency industry on product direction, both on the core company team and among its partners, investors, and advisors. As an early team member, you must feel comfortable working in a fast-paced environment where the solutions aren’t already predefined.

Prior experience with blockchain projects is helpful but we are primarily interested in the capacity to grow into the role. You should have prior experience in developing high-quality backend architecture and some passing knowledge of how such architecture principles should apply to blockchain data services.

We are looking for individuals who are passionate about being at the forefront of a new technological paradigm and can lead the design and development of scalable applications.

Requirements

Build and support a data pipeline platform that allows a customer's behavioral data to directly impact their individualized experiences on the company. Learn to evaluate multiple technical approaches and drive consensus with your engineering peers Use data to solve real-world problems and assist both internal and external partners with data integrations You will be responsible for ensuring access to data and tooling for the Core Engineering/Product team to leverage for direct customer use Developing sound testing and debugging practices Creating technical documentation and well-commented code for open-source consumption Participating in open source development on shared resources with external development teams

Qualifications:
Experience with data modeling, data warehousing, and building data pipelines Experience in SQL and building a time-series database (Postgres) Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Proficiency in, at least, one modern scripting or programming language such as Python, NodeJS Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations Strong understanding of distributed systems and Restful APIs. You’re opinionated about tooling and curious about new trends and technologies in the software development world. Independence and self-motivation 4+ years of engineering experienceBonus Points:
Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) Background in academic economics or finance Familiarity with Cosmos, Tendermint, or Thorchain Familiarity with the Rust/Golang programming language Experience in small startup environments Experience with a distributed team / remote workMake sure to follow us here to get our most live jobs https://www.linkedin.com/company/cryptorecruit

 
Cryptorecruit are the worlds leading specialist recruiter for the blockchain/Cryptocurrency industry. We recruit positions from CEO,CTO, Project Manager, Solidity developer, frontend and Backend Blockchain developers to marketing/sales and customer service roles. Please browse our website and atwww.cryptorecruit.comto search all our job vacancies.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.