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For Companies At a Glance
- Tasks: Write code and develop data-centric platforms for machine learning models.
- Company: Join American Express Global Business Travel, a leader in the travel industry.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Be part of a dynamic team shaping the future of decision analytics.
- Qualifications: Experience in Python, Java, Scala, Spark, or SQL is essential.
- Other info: Collaborative environment with a focus on quality and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Skills
Infrastructure as code, automated testing, and code reviews.
Optional Skills
- Experience with full-stack development using JavaScript, React, Java, or Flask for building small scale applications or internal tools.
Ability to develop and maintain data-centric platform you build to train and release machine learning models.
Responsibilities
Writing code – lots of it. We use Python, Java, Scala, Spark, and SQL. We welcome programmers of all backgrounds as long as you focus on data engineering solutions and attention to quality…
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Data Engineer II - Decision Analytics in London - American Express Global Business Travel (GBT) employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II - Decision Analytics in London - American Express Global Business Travel (GBT)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at American Express GBT. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or code samples that highlight your experience with Python, Java, or Scala, make sure to share them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice writing code on the spot, especially focusing on data engineering solutions. We know it can be nerve-wracking, but practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer II - Decision Analytics in London - American Express Global Business Travel (GBT)
Some tips for your application 🫡
Show Off Your Coding Skills: When you're writing your application, make sure to highlight your coding experience. We love seeing examples of your work with Python, Java, Scala, or SQL. Don’t be shy—share those projects that showcase your data engineering prowess!
Tailor Your Application: Take a moment to customise your application for the Data Engineer II role. Mention your experience with infrastructure as code and automated testing. We want to see how your skills align with what we’re looking for, so make it personal!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to your technical skills and experiences. Use bullet points if it helps to make your achievements stand out!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at WorksHub
✨Know Your Tech Stack
Make sure you’re familiar with the languages and tools mentioned in the job description, like Python, Java, Scala, Spark, and SQL. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to write quality code and implement solutions effectively.
✨Understand Infrastructure as Code
Since this role involves infrastructure as code, be ready to discuss your experience with automated testing and code reviews. Familiarise yourself with best practices in these areas to demonstrate your commitment to quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects and the company’s approach to decision analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
