| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Bitpanda | Barcelona, Spain | $98k - $108k | |||
Numeus | Remote | $88k - $112k | |||
Binance | Toronto, Canada |
| |||
0x | San Francisco, CA, United States | $36k - $54k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Crypto.com | Hong Kong, Hong Kong | $90k - $112k | |||
OP Labs | Remote | $103k - $117k | |||
OKX | Singapore, Singapore | $54k - $62k | |||
Bitso | Latin America | $72k - $103k | |||
Impossible Cloud | Remote | $62k - $67k | |||
Advanced Blockchain AG | Remote | $75k - $110k | |||
Circle | Salt Lake City, UT, United States | $147k - $195k | |||
Lemon.io | Canada | $48k - $110k | |||
Blockchain.com | London, United Kingdom | $76k - $100k | |||
Gramercy Park Capital | New York, NY, United States |
| |||
Binance | Taipei, Taiwan |
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This job is closed
Your mission
Do you want to build the future data platform and lead initiatives that have company-wide impact at the leading European crypto company? Then join the Bitpanda Data Platform Engineering team!
We build solutions ranging from batch data pipelines that bring to life business metrics to real-time processing services that integrate with our core product features. We also work hand in hand with all the business teams and help them generate insights from data to take better decisions.
What you’ll do
- Lead the strategic design of data engineering solutions and participate in the data strategy of the company
- Collaborate with tech leaders, principal engineers, business intelligence and business stakeholders to set the organisation’s data direction
- Architect and oversee the development of complex data processing workflows, using batch and real time technologies
- Establish and promote data engineering best practices, focusing on scalability, security and performance
- Evaluate emerging data technologies, frameworks and tools to drive innovation and stay ahead of industry trends
Who you are
- Proficient in at least one major programming language (e.g. Java, Scala, Python) and with SQL
- Strong background in at least one of the following: data platform, distributed data processing, software engineering of data services or data modelling
- Understanding of ETL/ELT, cloud architecture, data quality, event-driven architecture, data lake/warehouse, orchestration and observability
- Demonstrated intellectual and analytical rigour, team oriented, energetic, collaborative, diplomatic, and flexible >
- Experience leading large technical projects and mentoring and growing fellow team members
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.