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Sales / Exchange Data Engineer

Sales / Exchange Data Engineer

CoinDeskLondon, England, UK
13 days ago
Job type
  • Full-time
Job description

CoinDesk is the most trusted media events indices and data company for the global crypto economy. Since 2013 CoinDesk Media has led the story of the future of money and investing illuminating the transformation in society and culture that comes with it. Our award-winning team of journalists delivers news and unparalleled insights that bring transparency comprehension and context. CoinDesk Events gathers the global crypto blockchain and Web3 communities at annual events such as Consensus the worlds largest and longest-running crypto festival. CoinDesk Indices offers expertise in digital asset indices data and research to educate and empower investors. For more information on CoinDesk media and events please visit and for breaking headlines data and indices visit

In November 2023 CoinDesk was acquired by the Bullish group owner of Bullish a regulated digital assets exchange. For more information on Bullish please visit . CoinDesk operates as an independent subsidiary with an editorial committee to protect journalistic independence.

Reports to :

Vice President Engineering

About the Role

This is a pivotal high-profile role where youll leverage data to directly drive business growth and innovation. Youll 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.

EQUAL OPPORTUNITY

In an effort to attract retain develop and promote the most qualified individuals CoinDesk is committed to treating all applicants and employees in a nondiscriminatory manner with respect to the terms and conditions of employment without regard to race color religion or belief sex national or ethnic origin ancestry age marital status sexual orientation gender identity veteran status / service physical or mental disability or any other classification protected by applicable law. This mandate governs all aspects of employment including recruitment selection promotion training education social and recreation programs compensation discipline termination and access to benefits.

ACCOMMODATION

CoinDesk is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application process please send an e-mail to and let us know the nature of your request.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Data Engineer • London, England, UK