Data Engineer – Multi-Cloud ETL & Data Pipelines
Data Engineer – Multi-Cloud ETL & Data Pipelines

Data Engineer – Multi-Cloud ETL & Data Pipelines

Full-Time 50000 - 65000 £ / year (est.) No home office possible
UBDS Group

At a Glance

  • Tasks: Build and optimise data pipelines using the latest cloud technologies.
  • Company: Dynamic data solutions company based in Greater London.
  • Benefits: Private medical cover, bonuses, 25 days holiday, plus extra leave for personal milestones.
  • Other info: Exciting opportunities for growth in a collaborative environment.
  • Why this job: Join a team that shapes data transformation and drives innovation.
  • Qualifications: Experience with AWS, Azure, and solid data engineering skills.

The predicted salary is between 50000 - 65000 £ per year.

A data solutions company in Greater London is seeking a skilled Data Engineer to enhance data platforms across transformation programmes. The successful candidate will develop data pipelines using cloud-native technologies, support integration of data sources, and contribute to best practices. Experience with AWS, Azure, and data engineering principles is essential.

The position includes benefits such as private medical cover, discretionary bonuses, and 25 days holiday plus additional leave for personal milestones.

Data Engineer – Multi-Cloud ETL & Data Pipelines employer: UBDS Group

Join a forward-thinking data solutions company in Greater London, where innovation meets collaboration. We offer a vibrant work culture that prioritises employee growth through continuous learning and development opportunities, alongside competitive benefits like private medical cover and generous holiday allowances. Here, your contributions to cutting-edge data platforms will be valued, making it an ideal environment for those seeking meaningful and rewarding employment.
UBDS Group

Contact Detail:

UBDS Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer – Multi-Cloud ETL & Data Pipelines

Tip Number 1

Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local 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 data pipelines and cloud projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your AWS and Azure knowledge, and be ready to discuss your experience with ETL processes. Practising common interview questions can help you feel more confident.

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 – Multi-Cloud ETL & Data Pipelines

Data Engineering Principles
Cloud-Native Technologies
AWS
Azure
Data Pipeline Development
Data Integration
Best Practices Contribution
Analytical Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AWS, Azure, and data engineering principles. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

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 transformation programmes. Keep it engaging and personal.

Showcase Your Projects: If you've worked on any cool data pipelines or cloud-native technologies, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at UBDS Group

Know Your Cloud Tech

Make sure you brush up on your knowledge of AWS and Azure. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

Showcase Your Data Pipeline Skills

Prepare to talk about your experience with building data pipelines. Have examples ready that demonstrate your understanding of ETL processes and how you've implemented best practices in previous roles.

Understand the Company’s Needs

Research the company and its transformation programmes. Tailor your answers to show how your skills can enhance their data platforms and contribute to their goals.

Ask Insightful Questions

Prepare thoughtful questions about the team, the technologies they use, and their approach to data engineering. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.

Data Engineer – Multi-Cloud ETL & Data Pipelines
UBDS Group

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