Senior Data Engineer: Cloud Data Platforms & Advisory
Senior Data Engineer: Cloud Data Platforms & Advisory

Senior Data Engineer: Cloud Data Platforms & Advisory

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver scalable cloud-native data platforms using Azure and AWS.
  • Company: Leading technology consultancy in the UK with a focus on innovation.
  • Benefits: Competitive salary, supportive environment, and opportunities for professional development.
  • Why this job: Join a dynamic team and work on large-scale data initiatives that make a difference.
  • Qualifications: Strong skills in Python and Spark, with experience in data engineering.
  • Other info: Collaborative culture with opportunities for certifications and career growth.

The predicted salary is between 43200 - 72000 £ per year.

A leading technology consultancy in the United Kingdom is hiring an experienced Data Engineer to design and deliver scalable cloud-native data platforms. The role involves hands-on engineering, architecture decisions, and collaboration with cross-functional teams, focusing on Azure and AWS technologies.

The ideal candidate will have strong skills in Python and Spark, alongside experience with large-scale data initiatives. A competitive salary and a supportive environment are offered, with opportunities for professional development and certifications.

Senior Data Engineer: Cloud Data Platforms & Advisory employer: Nine Twenty Recruitment

As a leading technology consultancy in the United Kingdom, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous opportunities for certifications and growth within the field of cloud data engineering, ensuring that our team members are equipped with the latest skills and knowledge. Join us to be part of a dynamic environment where your contributions are valued and impactful.
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Contact Detail:

Nine Twenty Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer: Cloud Data Platforms & Advisory

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those working with cloud data platforms. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in Python and Spark. This is a great way to demonstrate your hands-on experience and problem-solving abilities to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to cloud technologies and be ready to discuss your past projects in detail.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s the best way to ensure your application gets noticed!

We think you need these skills to ace Senior Data Engineer: Cloud Data Platforms & Advisory

Cloud Data Platforms
Azure
AWS
Python
Spark
Data Engineering
Architecture Decisions
Collaboration
Large-Scale Data Initiatives
Professional Development
Certifications

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with cloud-native data platforms, especially in Azure and AWS. We want to see how your skills in Python and Spark align with what we're looking for!

Showcase Your Projects: Include specific examples of large-scale data initiatives you've worked on. We love seeing hands-on engineering experiences that demonstrate your ability to deliver scalable solutions.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.

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 this exciting opportunity!

How to prepare for a job interview at Nine Twenty Recruitment

✨Know Your Tech Stack

Make sure you’re well-versed in Azure and AWS technologies. Brush up on your Python and Spark skills, as these will likely come up during technical discussions. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar but truly capable.

✨Showcase Your Projects

Prepare to talk about specific large-scale data initiatives you've worked on. Highlight your role in designing and delivering cloud-native data platforms. Use concrete examples to illustrate your problem-solving skills and how you collaborated with cross-functional teams.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data engineering and their future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.

✨Emphasise Continuous Learning

Since the role offers opportunities for professional development, express your enthusiasm for learning and obtaining certifications. Share any relevant courses or training you’ve completed, and discuss how you plan to stay updated with industry trends and technologies.

Senior Data Engineer: Cloud Data Platforms & Advisory
Nine Twenty Recruitment

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