Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain data systems using social media inputs for real-time applications.
- Company: Data-driven tech firm in London with a focus on innovation.
- Benefits: Competitive salary, annual bonuses, health insurance, gym memberships, and team events.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Join a cutting-edge team and work on exciting low-latency systems.
- Qualifications: Strong programming skills in Java, experience with Postgres, GCP, and Docker.
The predicted salary is between 50000 - 65000 £ per year.
A data-driven technology firm in London is seeking a Software Engineer to develop and maintain data acquisition systems using social media inputs. The role requires strong programming skills, particularly in Java (Spring), and experience with Postgres, GCP, and Docker. Candidates should also be familiar with building RESTful APIs and enhancing system performance.
The position offers a competitive salary, annual bonuses, health insurance, and various employee benefits including gym memberships and regular team events.
Real-Time Data Engineer for LLM & Low-Latency Systems employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Data Engineer for LLM & Low-Latency Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java, Postgres, and Docker. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice coding challenges and be ready to discuss how you've tackled performance issues in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Real-Time Data Engineer for LLM & Low-Latency Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills, especially in Java (Spring), and any experience with Postgres, GCP, and Docker. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your skills can contribute to our data acquisition systems. We love seeing passion and personality, so let us know what makes you tick!
Showcase Your API Knowledge: Since building RESTful APIs is key for this position, make sure to mention any relevant experience you have. If you've worked on enhancing system performance, share those examples too! We appreciate candidates who can demonstrate their technical prowess.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at White Swan Data
✨Know Your Tech Stack
Make sure you brush up on your Java (Spring) skills, as well as your experience with Postgres, GCP, and Docker. Be ready to discuss how you've used these technologies in past projects, and think of specific examples that showcase your expertise.
✨Showcase Your API Skills
Since building RESTful APIs is a key part of the role, prepare to talk about your experience in this area. Have a couple of examples ready where you designed or improved an API, and be prepared to explain the impact it had on system performance.
✨Demonstrate Problem-Solving Abilities
Data engineering often involves troubleshooting and optimising systems. Think of a challenging problem you've faced in your previous roles and how you solved it. This will show your analytical skills and ability to enhance system performance.
✨Cultural Fit Matters
This company values team events and employee benefits, so be sure to express your enthusiasm for collaboration and teamwork. Share experiences where you contributed to a positive team environment, as this can help you stand out as a candidate who fits their culture.