Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise big data pipelines for an innovative analytics platform.
- Company: Dynamic data analytics company based in Greater London.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make an impact in the world of big data.
- Qualifications: Experience with SQL, NoSQL, and handling large datasets is essential.
- Other info: Embrace a collaborative culture with agile methodologies.
The predicted salary is between 36000 - 60000 £ per year.
A data analytics company in Greater London is seeking a skilled individual to help develop their big data analytics platform. The role involves bridging backend development with data science, and requires practical experience in handling large datasets and implementing both SQL and NoSQL database designs. The ideal candidate will be familiar with agile methodologies and ready to work in a flexible environment that encourages remote working.
Backend Data Engineer — Big Data Pipelines, Remote in London employer: Element Human
Contact Detail:
Element Human Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Data Engineer — Big Data Pipelines, Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. 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 big data pipelines and database designs. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and be ready to discuss how you've handled large datasets in the past. We want to see your problem-solving skills in action!
✨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 Backend Data Engineer — Big Data Pipelines, Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with big data and backend development. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and NoSQL expertise!
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 big data analytics platform. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving large datasets or agile methodologies, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 Element Human
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and NoSQL databases. Brush up on your knowledge of big data frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced while working with large datasets. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and problem-solving abilities.
✨Familiarise Yourself with Agile Methodologies
Since the role involves agile methodologies, be prepared to discuss your experience with agile practices. Share examples of how you've contributed to a team in an agile environment and how it helped improve project outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or how they measure success in their big data analytics platform.
