Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build modern data platforms in a cloud-first environment.
- Company: Leading organisation undergoing exciting cloud and data transformation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a transformative team and make a significant impact on data engineering.
- Qualifications: Experience in data engineering and cloud technologies required.
- Other info: Dynamic role with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation.
In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment.
Senior Data Engineer employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. 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 previous projects, especially those related to cloud and data platforms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data engineering and cloud technologies. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for the best Senior Data Engineer roles. Plus, we’re always here to support you throughout your job search journey.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud platforms and data engineering, and don’t forget to mention any relevant projects you've worked on that align with our needs.
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 your skills can contribute to our exciting transformation journey. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include specific tools and technologies you’ve worked with, especially those related to cloud and data platforms. This will help us understand your fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your Data
As a Senior Data Engineer, it's crucial to have a solid grasp of data architecture and cloud technologies. Brush up on your knowledge of Data Mesh principles and be ready to discuss how you've implemented similar solutions in the past.
✨Showcase Your Hands-On Experience
This role is hands-on, so be prepared to share specific examples of projects where you've designed and built data platforms. Highlight your experience with cloud services and any relevant tools or frameworks you've used.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data transformation journey and their expectations for the role. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Demonstrate Team Collaboration
Since you'll be working within a team, emphasise your ability to collaborate effectively. Share examples of how you've worked with cross-functional teams to deliver successful data solutions, showcasing your communication skills and adaptability.
