Junior Data Engineer: Cloud Data Pipelines & AI in London
Junior Data Engineer: Cloud Data Pipelines & AI

Junior Data Engineer: Cloud Data Pipelines & AI in London

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build data pipelines while developing automated data processing codes.
  • Company: Next-gen consultancy in a fast-growing start-up environment.
  • Benefits: Competitive salary, learning opportunities, and a dynamic team culture.
  • Why this job: Join a cutting-edge team and work with clients on exciting projects.
  • Qualifications: Strong programming skills and a tech-related educational background.
  • Other info: Great opportunity for career growth and learning about cloud technologies.

The predicted salary is between 28800 - 48000 £ per year.

A next-gen consultancy is seeking a Junior Data Engineer to design and build data pipelines and work with clients in London. The role involves developing automated data processing codes and engaging with a dynamic team in a fast-growing start-up environment.

Ideal candidates will have:

  • A solid educational background in technology-related fields
  • Strong programming skills
  • An eagerness to learn about cloud technologies

Junior Data Engineer: Cloud Data Pipelines & AI in London employer: Curveanalytics

Join a forward-thinking consultancy that champions innovation and collaboration in the heart of London. As a Junior Data Engineer, you'll thrive in a vibrant start-up culture that prioritises employee growth through hands-on experience and mentorship, while enjoying competitive benefits and a supportive work environment that encourages continuous learning in cutting-edge cloud technologies.
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Contact Detail:

Curveanalytics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Engineer: Cloud Data Pipelines & AI in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 related to data pipelines and cloud technologies. 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 common technical questions and coding challenges. Practice makes perfect, so consider doing mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!

We think you need these skills to ace Junior Data Engineer: Cloud Data Pipelines & AI in London

Data Pipeline Design
Automated Data Processing
Programming Skills
Cloud Technologies
Team Collaboration
Eagerness to Learn
Technology-related Educational Background

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your programming skills and any relevant projects you've worked on. We want to see what you can do, so don’t hold back!

Tailor Your Application: Take a moment to customise your application for the Junior Data Engineer role. Mention your interest in cloud technologies and how your background fits with our consultancy vibe.

Be Yourself: Let your personality shine through in your application. We’re a dynamic team, and we love to see candidates who are eager to learn and grow with us.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and get back to you quickly.

How to prepare for a job interview at Curveanalytics

✨Know Your Tech

Brush up on your programming skills and be ready to discuss the languages and tools you’re familiar with. Make sure you can explain how you've used them in past projects or coursework, especially in relation to data pipelines and cloud technologies.

✨Show Your Eagerness to Learn

Since this role is all about growth and learning, be prepared to talk about how you stay updated with new technologies. Share any online courses, workshops, or personal projects that demonstrate your commitment to expanding your knowledge in data engineering and AI.

✨Engage with the Team Spirit

This consultancy values teamwork, so think of examples where you’ve successfully collaborated with others. Be ready to discuss how you handle feedback and contribute to a dynamic team environment, as this will show you’re a great fit for their culture.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about their projects, team dynamics, and future technologies they plan to explore. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Junior Data Engineer: Cloud Data Pipelines & AI in London
Curveanalytics
Location: London

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