The Bullish Group has built an ecosystem focused on developing financial services for the digital assets sector through technology and investment businesses. These include: Bullish Exchange - digital asset trading services that utilize central limit order matching and proprietary market making technology to deliver deep liquidity and tight spreads within a compliant framework. The business is licensed by the Hong Kong Securities and Futures Commission, German Federal Financial Supervisory Authority, and the Gibraltar Financial Services Commission. Since its launch in November 2021, Bullish Exchange has surpassed US$1.3 trillion in total trading volume, with 2H 2024 average daily volume exceeding US$2 billion. Bullish Capital - an investment company which offers strategic capital, industry expertise and an extensive network of resources to support initiatives that connect conventional finance with the revolutionary possibilities of the digital economy. CoinDesk - an award-winning media, events, indices and data business servicing the global crypto economy.
Reports to:
Vice President, Engineering
About the Role
This is a pivotal, high-profile role where you'll leverage data to directly drive business growth and innovation. You'll manage the exchange data, significantly contributing to sales enablement and client engagement through actionable insights. Success requires a strong grasp of financial markets and products, and the ability to balance rapid prototyping with strategic data modeling to inform critical senior-level decisions.
While primarily focused on specific data initiatives, you will also play a key role in the broader mission of democratizing data and AI/ML technologies across the group, enabling informed decision-making. You will contribute to the ongoing development of a scalable, reliable, and cost-effective data platform that supports CoinDesk, CoinDesk Data, and Bullish Exchange.
Key Responsibilities
- Define and implement data marts and common data models specifically tailored to support the sales domain.
- Gain a deep understanding of end-to-end data models and workflows within the sales domain, including managing data flows for Salesforce to maximize value extraction.
- Continuously identify opportunities for cost optimization, address functional/non-functional issues through test automation, compute analysis, and performance profiling.
- Actively research and propose open-source and vendor solutions that can accelerate the achievement of business objectives.
- Maintain high standards for code quality, organization, and adherence to best practices.
- Work effectively as part of a global team spanning Hong Kong, New York, and London.
Qualifications
- A pragmatic technologist with a strong sense of end-to-end ownership that thinks front and foremost about how the application of technology can accelerate delivering on business objectives.
- Computer Science or related degree with 2+ years of experience.
- Hands-on experience with Python.
- Hands-on experience with BI tools such as Tableau, Power BI and Looker.
- Hands-on experience with Salesforce.
- Strong SQL skills. Strong analytical skills.
- Hands-on experience with SQL/no-SQL databases such as Redis, Postgres, Singlestore and MongoDB.
- Familiarity with big data technologies and data lake ecosystems e.g. Databricks, Snowflake etc.
- Well versed in designing data structures, event schemas and database schemas.
- Well versed in file formats such as CSV, JSON, Parquet, Avro and Iceberg.
- Solid and opinionated knowledge of testing methodologies.
- Solid and opinionated knowledge of coding principles and coding standards.
- Well versed with standard SDLC practices and tooling around build, test, deploy etc.
- Ability to operate and thrive in a dynamic startup environment.
- Passionate about knowledge sharing and mentoring.
- Eligibility to work in London.
Bonus Experience
- Hands-on experience working with cloud technologies.
- Familiarity with Airflow, DBT, REST API, Kubernetes, Istio and Docker.
- Experience delivering simple web based UIs to visualize data.
- Experience working with petabyte datasets.
- Experience with middleware such as Chronicle Queue, Aeron, RabbitMQ and Kafka.
Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
