Senior Analytics Engineer – Finance

November 12

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Kraken Digital Asset Exchange

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Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

📋 Description

• Build dynamic data visualizations aid management decision support • Perform data analysis and investigation related to finance use cases and liaise with cross-functional groups to resolve issues • Build scalable and reliable data pipeline that collects, transforms, loads and curates data from internal systems and databases • Augment platform data with data pipelines from select external and internal systems • Support design and deployment of finance data lake that will be central source of truth for finance functions reporting and analysis needs • Develop automation as feasible to drive data solutions to be as near real-time as possible • Evaluate new technologies and build prototypes for continuous improvements in finance data analytics operations • Additional duties and responsibilities as assigned

🎯 Requirements

• 4+ years of work experience in relevant field (Data Engineer, Analytics Engineer, DWH Developer, Data Analyst, etc) • Proficiency in a major programming language (e.g. Scala, Python, Golang,..) • Experience with data warehouse technologies and relevant data modeling best practices (Presto, Athena, Glue, etc) • Experience building data pipelines/ETL and familiarity with design principles (Apache Airflow is a big plus!) • Mastering the ELT concepts with DBT or similar Analytics Engineering frameworks. • Experience with finance operations, management reporting and regulatory reporting. • Proficient with data wrangling tools and scripting languages (e.g. python, SQL etc.) • Excellent SQL and data manipulation skills using common frameworks like Spark/PySpark, or similar. • Proficient working with API’s and data querying languages for data modeling and analysis • Working knowledge of project and workstream management tools such as Wrike, Confluence, Jira • Experience with business requirements gathering for data sourcing.

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) retirement plan with matching • Wellness allowance • Flexible work hours