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- Tasks: Design and implement data pipelines for blockchain events and external API services.
- Company: Join a pioneering company at the forefront of DeFi technology.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for growth.
- Why this job: Be part of a fast-paced team shaping the future of data in finance.
- Qualifications: 4+ years in engineering, with skills in SQL, Python, and data management.
- Other info: Open to candidates eager to learn and grow in blockchain technology.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Pipeline Engineer, you will be involved in designing, implementing, deploying, and supporting our company's Data Service project. You will work on foundational data infrastructure and optimize external visibility by assisting third-party sources to leverage our Data Service.
Your responsibilities will include architecting real-time microservices that capture blockchain events and building systems to support external API services for network monitoring and analytics. As a team member, you will create technically viable software alongside senior engineers specializing in DevOps, distributed systems, system architecture, and testing. Collaboration with industry experts, partners, investors, and advisors is essential. You should be comfortable working in a fast-paced environment where solutions are not predefined. Prior experience with blockchain projects is helpful but not mandatory; a strong capacity to grow into the role is key. Experience in developing high-quality backend architecture and understanding of blockchain data principles are desirable. We seek individuals passionate about pioneering new technological paradigms and capable of leading scalable application design and development.
Requirements
- Build and support a data pipeline platform impacting customer experiences through behavioral data.
- Evaluate technical approaches and drive consensus with peers.
- Utilize data to solve real-world problems and assist with data integrations.
- Ensure data access and tooling for internal and external teams.
- Develop testing and debugging practices.
- Create technical documentation and well-commented code for open-source projects.
- Participate in open-source development with external teams.
Qualifications
- Experience with data modeling, warehousing, and pipelines.
- Proficiency in SQL and building time-series databases like Postgres.
- Knowledge of data management and storage principles.
- Understanding of distributed systems related to data storage and computing.
- Proficiency in at least one modern programming language such as Python or NodeJS.
- Experience communicating requirements and strategies to diverse stakeholders.
- Knowledge of software engineering best practices, including agile methodologies.
- Strong understanding of distributed systems and RESTful APIs.
- Curiosity about new tools, trends, and technologies.
- Independence and self-motivation.
- Minimum 4 years of engineering experience.
Bonus Points
- Experience with large-scale or real-time data processing pipelines (Kafka, Hadoop, etc.).
- Experience with distributed storage and database systems (SQL or NoSQL).
- Background in economics or finance.
- Familiarity with Cosmos, Tendermint, or Thorchain.
- Familiarity with Rust or Golang.
- Experience working in startups or remote teams.
Data Engineer - DeFi employer: Crypto Recruit
Contact Detail:
Crypto Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - DeFi
✨Tip Number 1
Familiarise yourself with blockchain technology and data principles. Even if you don't have direct experience, showing a strong understanding of how blockchain works and its applications in data engineering can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community, especially those focused on DeFi. Join forums, attend webinars, or participate in open-source projects related to blockchain and data pipelines to demonstrate your passion and commitment to the field.
✨Tip Number 3
Highlight your problem-solving skills by discussing past experiences where you've tackled complex technical challenges. Be prepared to share specific examples during interviews that showcase your ability to think critically and adapt in fast-paced environments.
✨Tip Number 4
Network with professionals in the industry, particularly those who work at StudySmarter or similar companies. Building connections can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying.
We think you need these skills to ace Data Engineer - DeFi
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with data pipelines and blockchain projects. Use specific examples to demonstrate your skills in SQL, programming languages like Python or NodeJS, and any experience with distributed systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and the blockchain space. Mention how your background aligns with the responsibilities of the Data Pipeline Engineer role and your eagerness to collaborate with industry experts.
Showcase Technical Skills: Include a section in your application that showcases your technical skills, such as experience with data modeling, warehousing, and any tools you've used for real-time data processing. Highlight any open-source contributions or projects that demonstrate your coding abilities.
Demonstrate Problem-Solving Ability: Provide examples in your application that illustrate your problem-solving skills, especially in fast-paced environments. Discuss how you've used data to solve real-world problems and your approach to developing testing and debugging practices.
How to prepare for a job interview at Crypto Recruit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data modeling, warehousing, and pipelines. Highlight your proficiency in SQL and any relevant programming languages like Python or NodeJS. Consider bringing examples of past projects that demonstrate your technical capabilities.
✨Understand Blockchain Fundamentals
Even if you don't have direct experience with blockchain projects, it's crucial to show a strong understanding of blockchain data principles. Brush up on how blockchain works and be ready to discuss its implications for data engineering.
✨Demonstrate Problem-Solving Skills
Prepare to talk about how you've used data to solve real-world problems in previous roles. Think of specific examples where you evaluated technical approaches and drove consensus among peers, as this aligns with the responsibilities of the role.
✨Emphasise Collaboration and Communication
Since collaboration with various stakeholders is essential, be ready to share experiences where you've effectively communicated requirements and strategies. Highlight your ability to work in fast-paced environments and adapt to changing situations.
