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- Tasks: Build data pipelines and support legal researchers with innovative tech solutions.
- Company: Dynamic data-driven tech company focused on digital law.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a difference in the legal tech space.
- Qualifications: Bachelor's degree and 2+ years in data engineering or software development.
- Other info: Exciting work environment in Greater London with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven tech company is seeking a Data Engineer to assist the Centre for Digital Law. Responsibilities include developing data pipelines, maintaining database infrastructure, and collaborating with legal researchers.
The ideal candidate should have a Bachelor's degree in a relevant field and at least 2 years of experience in data engineering or software development. Proficiency with data processing frameworks and web APIs is essential. This position is based in Greater London, United Kingdom.
Research Engineer: Data Pipelines & Legal NLP in London employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer: Data Pipelines & Legal NLP in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data processing frameworks and web APIs. We love candidates who can talk shop and demonstrate their expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Research Engineer: Data Pipelines & Legal NLP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and software development. We want to see how your skills align with the responsibilities of developing data pipelines and maintaining database infrastructure.
Showcase Relevant Projects: Include any projects that demonstrate your proficiency with data processing frameworks and web APIs. We love seeing real examples of your work, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a great fit for collaborating with legal researchers at our Centre for Digital Law.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines and processing frameworks. Be ready to discuss specific projects where you've developed or maintained these systems, as this will show your practical experience and understanding of the role.
✨Familiarise Yourself with Legal NLP
Since the position involves collaborating with legal researchers, it’s a good idea to have a basic understanding of Natural Language Processing in a legal context. Research how data engineering can support legal applications and be prepared to share your insights during the interview.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so think of examples where you've worked effectively with others, especially in cross-functional teams. Highlight how you’ve communicated technical concepts to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between data engineering and legal research.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you assess if the company is the right fit for you.
