Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build reliable data pipelines for cutting-edge genAI products using Python and Kafka.
- Company: Leading tech company in Brighton with an inclusive workplace culture.
- Benefits: Competitive salary, extensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of innovative technology.
- Qualifications: Strong Python skills and experience in real-time data engineering.
- Other info: Collaborate with talented teams and mentor junior engineers.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech company in Brighton is looking for a mid-Level Data Engineer to develop reliable data pipelines for innovative genAI products. The role requires strong skills in Python and real-time data engineering, alongside experience with tools like Kafka and Snowflake.
Responsibilities include:
- Managing Kafka
- Collaborating with teams to enhance solutions
- Guiding junior members
A competitive salary, extensive benefits, and an inclusive workplace culture are offered.
Real-Time Data Engineer — Kafka, AWS & Python Expert in Brighton employer: Humara by 15gifts
Contact Detail:
Humara by 15gifts Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Data Engineer — Kafka, AWS & Python Expert in Brighton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Python projects or data pipelines, make sure to share it during interviews. It’s a great way to demonstrate your expertise in real-time data engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on Kafka and AWS. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Real-Time Data Engineer — Kafka, AWS & Python Expert in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Kafka, and any real-time data engineering projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative genAI products. Let us know what excites you about working with us in Brighton!
Showcase Your Team Spirit: Since collaboration is key in this role, share examples of how you’ve worked with teams in the past. Whether it’s guiding junior members or enhancing solutions together, we love to see that team player attitude!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Humara by 15gifts
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with Kafka and Snowflake. Be ready to discuss how you've used these tools in past projects, as the interviewers will want to see your practical experience and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since the role involves working with teams, be prepared to share examples of how you've collaborated effectively in the past. Highlight any experiences where you guided junior members or contributed to team success, as this will demonstrate your ability to work well in a team environment.
✨Prepare for Real-Time Data Scenarios
Expect questions that test your understanding of real-time data engineering. Think about challenges you've faced in developing data pipelines and how you overcame them. Being able to articulate your thought process will impress the interviewers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data engineering and how they envision the role evolving. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
