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- 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) in London 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) in London
✨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, especially those involving Hadoop, Spark, and real-time data streaming with Kafka. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Java skills. Practice coding challenges and be ready to discuss your experience with scalable data architecture and distributed systems.
✨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 get noticed by our hiring team.
We think you need these skills to ace Data Engineer: AI-Driven Big Data Pipelines (Remote) in London
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! Use it to explain why you’re passionate about data engineering and how you can contribute to our AI initiatives. We love seeing enthusiasm and a bit of personality!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know how you've tackled challenges in scalable data architecture and distributed systems.
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, we love seeing applications come in through our own channels!
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 successfully worked in teams, especially when it comes to supporting AI initiatives or integrating data solutions.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data architecture and future 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.
