Senior Data Engineer: Shape a Scalable Cloud Lakehouse

Senior Data Engineer: Shape a Scalable Cloud Lakehouse

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
USS

At a Glance

  • Tasks: Lead the development of a cutting-edge Fabric Data Lakehouse and collaborate with cross-functional teams.
  • Company: Join USS, a leader in data strategy and innovation.
  • Benefits: Enjoy a competitive salary, generous leave, and a top-notch pension scheme.
  • Why this job: Shape the future of data platforms and drive a data-driven culture.
  • Qualifications: Significant experience in cloud technologies and data platform solutions.

The predicted salary is between 60000 - 80000 £ per year.

USS is hiring a Senior Data Engineer to assist in developing the Investment Data Platform (IDP). This role is crucial for advancing USSIM’s data strategy project and requires significant experience in data platform solutions, particularly with cloud technologies.

The successful candidate will lead the development of a Fabric Data Lakehouse, work closely with cross-functional teams, and help embed a data-driven culture within the organization.

Benefits include a competitive salary, generous leave, and access to a high-quality pension scheme.

Senior Data Engineer: Shape a Scalable Cloud Lakehouse employer: USS

At USS, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Senior Data Engineer, you will not only contribute to cutting-edge projects like the Investment Data Platform but also enjoy a competitive salary, generous leave, and a robust pension scheme, all while working in a supportive environment that prioritises employee growth and development.

USS

Contact Details:

USS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer: Shape a Scalable Cloud Lakehouse

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at USS. A friendly chat can sometimes lead to insider info about job openings or even a referral.

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your experience with cloud technologies and data platform solutions. This will give you an edge during interviews and show that you're ready to hit the ground running.

Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for data engineering roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the USS team.

We think you need these skills to ace Senior Data Engineer: Shape a Scalable Cloud Lakehouse

Data Engineering
Cloud Technologies
Data Platform Solutions
Fabric Data Lakehouse
Cross-Functional Collaboration
Data-Driven Culture
Scalability

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 technologies and data platform solutions, as these are key for us at USS.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for the Investment Data Platform project. Share specific examples of your past work that align with our needs and show your passion for data-driven culture.

Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention any relevant tools or technologies you've worked with, especially those related to Fabric Data Lakehouse development.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at USS

Know Your Cloud Technologies

Make sure you brush up on your knowledge of cloud technologies, especially those relevant to data platforms. Be ready to discuss your experience with Fabric Data Lakehouses and how you've implemented similar solutions in the past.

Showcase Your Cross-Functional Collaboration

Prepare examples of how you've worked with different teams to achieve a common goal. Highlight your ability to communicate complex data concepts to non-technical stakeholders, as this will be key in embedding a data-driven culture.

Demonstrate Problem-Solving Skills

Think of specific challenges you've faced in previous roles and how you overcame them. This could involve optimising data processes or troubleshooting issues within a data platform. Be ready to share these stories during the interview.

Ask Insightful Questions

Prepare thoughtful questions about USS's data strategy and the Investment Data Platform. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.