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- Tasks: Design and maintain high-performance data pipelines using Python and Rust.
- Company: Join Laser Digital, a Nomura Group company focused on responsible crypto innovation.
- Benefits: Enjoy a hybrid work model with a dynamic and open culture.
- Why this job: Be part of a team that values adaptability and knowledge sharing in the crypto space.
- Qualifications: Strong programming skills in Python and Rust; experience in data processing and Linux environments.
- Other info: Ideal for those with a background in gaming or trading, looking to make an impact.
The predicted salary is between 48000 - 72000 £ per year.
About Us: Laser Digital is a Nomura Group company, delivering scalable, robust opportunities across trading, asset management, and ventures in crypto. The team works at higher standards of risk management, compliance, and commercial viability, all driven by a belief in more responsible crypto innovation. With an open and dynamic culture, Laser Digital has the freedom to adapt to market needs, to move swiftly to capitalization, and to share knowledge with clients and partners—bringing greater confidence to the institutional market, for the benefit of all.
We are seeking a highly skilled and motivated Technical Project Manager to join our dynamic team. We’re looking for a highly capable Senior Data/Software Engineer who combines deep technical software engineering expertise with a strong understanding of data processing and analysis. This role is central to the development of scalable data systems and high-performance applications.
- Design, build, and maintain high-quality, high-performance data pipelines using Python and Rust.
- Write infrastructure-as-code for managing Linux-based systems and services.
- Analyse large and complex datasets, writing custom tools and scripts where needed.
- Collaborate across engineering and data teams to support data-driven decision-making.
- Contribute to infrastructure projects and system-level programming as needed.
- Review and work with code in Python, Rust, and occasionally C++ for integration or debugging.
Strong programming experience in Python and Rust (Rust is a significant plus). Solid grasp of Linux environments; Proven track record in software engineering roles with strong exposure to data processing. Comfortable wearing multiple hats—software development, data analysis, and infrastructure. A strong systems thinker with a low-level understanding of how data and computation interact. Experience in high-performance computing environments. Previous work in gaming, trading, or similar industries where performance and data are critical. Exposure to C++ is beneficial for understanding legacy systems or performance code.
Senior Data Engineer - Hybrid employer: Laser Digital
Contact Detail:
Laser Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Hybrid
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, particularly Python and Rust. Consider building a small project or contributing to open-source projects that utilise these languages to showcase your skills.
✨Tip Number 2
Network with professionals in the crypto and data engineering fields. Attend relevant meetups or webinars to connect with people who work at Laser Digital or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with high-performance computing and data processing during interviews. Be ready to share specific examples of how you've tackled complex datasets or built scalable systems in previous roles.
✨Tip Number 4
Demonstrate your understanding of Linux environments by discussing any relevant projects or experiences. Highlight your ability to write infrastructure-as-code and how it has improved efficiency in your past work.
We think you need these skills to ace Senior Data Engineer - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Rust, and C++. Emphasise any projects where you've built data pipelines or worked in high-performance computing environments, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with Laser Digital's mission. Mention specific experiences that demonstrate your ability to work in Linux environments and your understanding of data processing.
Showcase Relevant Projects: If you have any personal or professional projects that involve data analysis or infrastructure-as-code, include them in your application. This will provide concrete examples of your capabilities and problem-solving skills.
Highlight Collaboration Skills: Since the role involves collaboration across teams, mention any experiences where you've successfully worked with others on technical projects. This could be in software development, data analysis, or infrastructure management.
How to prepare for a job interview at Laser Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Rust in detail. Bring examples of projects where you've built data pipelines or worked in a Linux environment, as this will demonstrate your technical expertise and problem-solving abilities.
✨Understand the Company Culture
Research Laser Digital's approach to crypto innovation and their emphasis on risk management and compliance. Showing that you align with their values and can adapt to their dynamic culture will make a positive impression.
✨Prepare for System-Level Questions
Since the role involves system-level programming, brush up on your understanding of how data and computation interact. Be ready to answer questions about infrastructure-as-code and high-performance computing environments.
✨Demonstrate Collaboration Skills
Highlight your experience working across teams, especially in data-driven decision-making. Provide examples of how you've collaborated with engineering and data teams to achieve project goals, as teamwork is crucial in this role.
