At a Glance
- Tasks: Lead the development of scalable data solutions on cloud technologies.
- Company: Join USS Investment Management, a leader in investment data innovation.
- Benefits: Enjoy a competitive salary and comprehensive benefits package.
- Other info: Collaborate with diverse teams and grow your career in London.
- Why this job: Make a real impact by driving a data-driven culture in a dynamic environment.
- Qualifications: Extensive experience in data engineering and cloud technologies required.
The predicted salary is between 51750 - 63250 £ per year.
USS Investment Management Limited is seeking a Senior Data Engineer to contribute to the development of the Investment Data Platform (IDP) in London.
This role demands significant experience in data engineering on cloud technologies, focusing on scalable solutions and best practices.
The successful candidate will partner with various teams to translate business needs into effective data solutions while advocating for data-driven culture.
Competitive salary and benefits offered.
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Senior Data Engineer: Cloud Data Lakehouse Lead in London employer: USS Investment Management Limited
At USS, we pride ourselves on being an exceptional employer, offering a dynamic work environment where your contributions as a Finance Change Lead will be valued from day one. With a strong focus on employee development, flexible working arrangements, and a commitment to inclusivity, you will have the opportunity to grow your career while making a meaningful impact in the finance transformation landscape. Our supportive culture, generous benefits, and emphasis on work-life balance make USS a truly rewarding place to work.
Contact Details:
USS Investment Management Limited Recruitment Team
StudySmarter Expert Advice🤫
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We think you need these skills to ace Senior Data Engineer: Cloud Data Lakehouse Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
