Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise large-scale data pipelines using Hadoop and Spark.
- Company: Leading data solutions provider in the UK with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and support AI initiatives while working from anywhere.
- Qualifications: Experience with real-time data streaming, Kafka, Python, and Java.
- Other info: Perfect for those passionate about scalable data architecture and distributed systems.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions provider in the UK is seeking a Data Engineer to design and optimize large-scale data pipelines utilizing Hadoop and Spark. Candidates should have hands-on experience with real-time data streaming using Kafka and be proficient in programming languages like Python and Java. This role requires collaboration with data scientists to support AI initiatives and offers a fully remote work environment. Ideal for those who excel in scalable data architecture and distributed systems.
Data Engineer: AI-Driven Big Data Pipelines (Remote) employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: AI-Driven Big Data Pipelines (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual 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 with Hadoop, Spark, and Kafka. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and Java skills, and be ready to discuss your experience with data pipelines. Practising common interview questions can help you feel more confident when the time comes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer: AI-Driven Big Data Pipelines (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Hadoop, Spark, and real-time data streaming. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python and Java!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our AI initiatives. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool projects involving scalable data architecture or distributed systems, make sure to mention them! We love seeing practical examples of your work that demonstrate your expertise.
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 Crossing Hurdles
✨Know Your Tech Stack
Make sure you’re well-versed in Hadoop, Spark, Kafka, Python, and Java. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in designing or optimising data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your analytical thinking and ability to tackle complex problems.
✨Collaboration is Key
Since this role involves working closely with data scientists, be ready to talk about your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to support AI initiatives, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future AI projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.
