TALOS

Institutional Fabric for the Digital Asset Market

Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem.

Our mission at Talos is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle.

At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe that every member of our team adds invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust and integrity, collaboration, and mutual growth. Together, we are ambitiously building something extraordinary. Your unique talents and insights will play a crucial role in our shared success.

We are a tight-knit but decentralized team of highly-experienced engineers and businesspeople. We have a hybrid-friendly work environment, with physical hubs in New York, London, Singapore, Sweden and Cyprus.

About the Role

Talos is hiring a Data Engineer to help us design and build our next generation data platform. which will be the foundation for external client reports and dashboards, as well as a playground for internal data analysts and quant developers. The ideal candidate will have a strong fundamental knowledge of software engineering and data engineering, and will be able to apply their expertise to design and build a modern data processing platform. The platform will be used to process and analyze hundreds of terabytes of market data and client trading activity.. It will also systematize and expand broader data initiatives, impacting clients' execution strategy via meaningful data-driven insights.

Responsibilities and Duties

• Build, implement, and maintain high-quality data pipelines based on internal data and external market data sources

• Implement reusable frameworks for data processing and data sharing to consumers

• Analyze data for trends and information most useful to clients; distill data into meaningful decision points for clients

• Liaise with teams such as engineering, research, and business development to help set product roadmap priorities

Qualifications

• Computer science fundamentals

• Hands-on experience with data modeling and building production grade pipelines using distributed data processing technologies and frameworks (batch and streaming) such as Spark, Flink, Beam, Kafka etc.

• Extensive experience with programming languages (e.g. Python, Go, Scala, Java), proficiency using SQL for analytics (aggregate & window functions), and mindful about writing clean, maintainable code

• Ability to create elegant and intuitive dataset design; advocate for data quality

• Autonomous self starter that’s solution oriented and with a good understanding of the context between product and business.

Good to have experience:

• Using Cloud managed services and data warehouse solutions (e.g. BigQuery, Snowflake, Redshift, Vertica, Teradata, etc.)

• Building and operating a data lakehouse

• Creating and managing data infrastructure (ideally using Terraform)

• Trading/Finance

Benefits

You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team.

Get In Touch!

Sounds compelling? We’d love to hear from you. Contact us directly.

Also, check out other open positions listed on our website.

Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at careers@talos.com.

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