Kraken

London

1,001-5,000 employees

We put the power in your hands to buy, sell, and trade digital currency

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Analytics Engineer

Kraken

Analytics Engineer

Data Engineering

This job is no longer open

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

About the Role

We are looking for Analytics Engineers who will play a key role in driving decision making in building cutting-edge products at Kraken. You will set up data infrastructure, write ETL pipelines, transform large datasets from complex systems, develop custom apps and generate actionable insights. You will partner and lead projects with data analysts, data scientists, product management, engineering, client engagement, finance and other enterprise level teams.

You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of analytics engineering.

Great benefits, amazing perks, remote work, stock incentives, and a flexible PTO policy make Kraken a great place to work.

This is a fully remote role, we will consider applicants based in North America, South America and Europe.

Responsibilities

Own core data infrastructure and platforms including 3rd party tools, make recommendations on evolving our tech stack.
Build scalable data models necessary to facilitate reporting (e.g., data integrity) and analytics.
Develop and automate reporting of key performance indicators of various Kraken’s products and services at scale, solving for business priorities.
Apply software engineering best practices to analytics code (e.g., version control, testing, continuous integration)
Collaborate with engineering teams and stakeholders to build key datasets and data pipelines using dbt/Python/ETL frameworks.
Be a data evangelist and help Kraken improve its products and services.

Requirements

At least 3 years of experience in data analytics, engineering or warehousing
Advanced knowledge of SQL, dbt, scripting languages and data warehousing concepts
A consistent track record of performing data analysis using a scripting language (Python, R, Javascript, etc) and/or experience with a programming language (Java, Scala, Golang, etc)
Strong understanding of statistical concepts
Experience with BI Software (Superset / Tableau / etc)
Experience interacting with APIs
Familiarity with data warehouse development and best practices
Demonstrate versatility and willingness to learn and implement new technologies.
Have experience or willingness to learn ML modeling and deployment.
The ability to clearly communicate complex results to technical and non-technical audiences.

Nice to have

Familiarity with cryptocurrency ecosystem
BA/BS or MA/MS degree in Mathematics, Statistics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field

Location Tagging: #EU #US

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.

As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.