At a Glance
- Tasks: Design secure, scalable integrations and APIs for data management.
- Company: Middlesex University London, a forward-thinking institution embracing digital transformation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Join a pioneering team to modernise data usage and make a real impact.
- Qualifications: Experience in data integration and a passion for technology.
The predicted salary is between 60750 - 74250 £ per year.
Middlesex University London is establishing a Data Engineering Team within Digital & Library Services to modernise how data is connected, managed and used across the university’s digital estate. We seek two foundational Data Integration Engineers to build on the transformation with our Microsoft partner, designing secure, scalable integrations and APIs.
You will work closely with our Application Development Team to ensure reliable data flows and secure system communication across our global user.
Azure Data Integration Engineer – 2 Openings employer: Middlesex University London
Middlesex University London is an exceptional employer, offering a vibrant academic environment that prioritises high-quality, inclusive teaching and impactful research. Located in a dynamic city, the university provides ample opportunities for professional growth, collaboration, and innovation, making it an ideal place for those passionate about shaping the future of strategy and international business education.
Contact Details:
Middlesex University London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Integration Engineer – 2 Openings
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We think you need these skills to ace Azure Data Integration Engineer – 2 Openings
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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