Data Engineer

fulltime

Employment Information

Job title: Data Engineer - Digital Asset Market Making


About Keyrock

Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.

Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels and Singapore, and host regular online and offline hangouts to keep the crew tight.

We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

But we're more than a service provider. We're an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.


At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.



Mission statement

Join our dynamic team at Keyrock, a leader in the digital asset market making space. We are committed to leveraging cutting-edge technology to provide liquidity and efficient trading solutions in the digital asset ecosystem. We are looking for a skilled Data Engineer to design, build, and maintain robust data pipelines that support our trading and analytics platforms.


Job description


  • Design, implement, and maintain scalable and efficient ETL pipelines using Python and SQL to process and store large volumes of financial data.

  • Develop and optimize data models and schemas in PostgreSQL and Clickhouse to support complex queries and analytics.

  • Build and maintain real-time data streaming and processing systems using AWS Kinesis and Lambda.

  • Automate infrastructure management using Terraform for deploying and managing AWS resources, ensuring a secure and scalable environment.

  • Collaborate with trading and analytics teams to understand data requirements and ensure the availability and quality of data for decision-making.

  • Implement data monitoring and alerting mechanisms to proactively identify and resolve issues in data pipelines.

  • Write shell scripts to automate routine data processing tasks and system maintenance.

  • Ensure compliance with data governance and security best practices, especially around handling sensitive financial data.


Background and experience

  • 3+ years of experience as a Data Engineer or in a similar role within financial services, ideally with exposure to digital assets or cryptocurrency markets.

  • Proficiency in Python for data engineering tasks and automation.

  • Strong SQL skills for complex query design, optimization, and data modeling.

  • Experience with AWS services, specifically Lambda, Kinesis, RDS, S3, and IAM.

  • Hands-on experience with Terraform for infrastructure as code and managing AWS environments.

  • Familiarity with Clickhouse for handling large datasets and real-time analytics is highly desirable.

  • Experience with PostgreSQL for data warehousing and analytics.

  • Proficiency in shell scripting for automation and system operations.

  • Knowledge of best practices in data architecture, data security, and data governance.

  • Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.

  • Excellent communication skills and ability to work collaboratively with cross-functional teams.


Competences and personality

  • Experience in the digital asset or cryptocurrency trading industry.

  • Familiarity with financial market data, trading systems, and algorithms.

  • Experience with other data processing and visualization tools like Apache Kafka, Spark, and Sisense.


Our recruitment philosophy


We value self-awareness in our recruitment process. We seek people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who's driven, collaborative, and delivers solid, scalable outcomes.



Our offer

  • A competitive salary package, with various benefits depending on the method of engagement (employee or freelancer).

  • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely

  • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence



As an employer we are committed to build an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance.


Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.


https://keyrock.com/careers/


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