Job Description
Summary
About the role
At CoW Protocol, we have many opportunities to work with data each and every day
We are looking for a Data Engineer to support us in extracting relevant data from the Ethereum blockchain. In this role, your primary responsibilities will be creating and maintaining data pipelines, building out our data infrastructure, and supporting other teams in their data needs
The ideal candidate is passionate about working with the data and creating impact from the ground up in a fast-paced environment
What you’ll do
- Partner with different stakeholders within the company to understand and address their data needs
- Create, maintain, and optimize data pipelines and queries and facilitate easy consumption of data results. This includes designing and implementing scalable data storage and processing solutions, setting up monitoring and alerting systems to detect issues early, and ensuring data quality and integrity
- Build the infrastructure required for performant extraction, transformation, and loading of data from a wide variety of data sources
- End-to-end ownership of all engineering aspects of the solution. Deploy inclusive data quality checks, tests, and code review processes to ensure the high quality and correctness of data
- Ensure that the company's data handling processes are secure and compliant with relevant regulations. This includes implementing appropriate access controls, encryption, and other security measures to protect sensitive data
- Connect with the Ethereum community, follow trends, and stay up to date about new analytical tools that help extract relevant data from the blockchain
Who you are
- Strong technical background with a degree in Computer Science, Mathematics and/or Engineering
- Experience in designing, implementing, deploying, and maintaining efficient data architectures
- Proficiency in Python and/or other modern programming language development experience
- Proficiency in querying databases and data modeling, in particular SQL and relational databases experience
- Experience in working with blockchain data from 3rd party providers (including blockchain APIs): Dune Analytics, Etherescan, Coingeko, etc
- Knowledge of cloud computing platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP)
- You are obsessed with numbers and a strong believer in data-driven decision-making, able to analyze and interpret complex data sets and draw meaningful insights from them
- Self-motivated and proactive team player, approach problems creatively and find effective solutions, able to multi-task and also work independently
- Passionate for engineering best practices such as code reviews, testing, continuous integration, and delivery
- Passionate about crypto and blockchain technology, a strong believer in its potential to transform industry
What we can offer you
- Flexible work environment: Join our hub in Lisbon or work remotely
- Token plan: Have a stake in our mission and shape the future of CoW DAO
- Periodic gatherings: Enjoy opportunities to connect with the rest of the team through regular trips
- Conference allocation: Stay up-to-date with ecosystem advancements using our conference budget
- Learning budget: Use our learning budget to support your higher ambitions
- Hardware budget: Take advantage of a hardware budget to acquire the necessary equipment
- Make an impact: You are joining a startup where you can make a huge difference. Your work matters!
- Flat hierarchies mean fewer processes and bureaucracy - see more of your ideas come to life!
- Flexible work and vacation times: Prioritize work-life balance through our robust, flexible work policy and vacation allowance
- Growth: If you're someone who loves taking the initiative and getting things done, CoW offers lots of opportunities for your individual growth
Referral Program
Earn 6.000 USDC or USD with the refer-to-earn program. More details on cow.fi/careers.
Skills
- Data Structures
- Development
- Problem Solving
- Python
- SQL
Other Benefits
Flexible work environment Token Plan Periodical gatherings Conference allocation Learning budget Hardware budget