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DataShaka is hiring

Data Operations Intern

You will be working for DataShaka as Data Operations Intern

This is a great opportunity to join a big data start-up in Central London. The internship is a technical but non-engineering role, where you would be managing and processing data through proprietary tools that we have developed, generating client dashboards, as well as managing account settings. There may also be design work if you have experience.

Working closely with highly our experienced team, you will gain experience of working in a technology start-up and will contribute to the success of the business.

The internship is a really good role for a science or engineering graduate, that is interested in solving challenges with big data technology and looking for their first job. You must be technically minded and an interest in software and technology is essential. Please note that this is not a data analysis role.

The environment in the office is one of problem solving, being challenged intellectually and team work, so we require someone that is motivated and keen to learn.

Please send your CV with a covering letter stating:
1. Why you would like to work for a startup
2. Why you are interested in pursuing a career in big-data
3. What you hope to gain from this experience

The Company

About us:

DataShaka is an award winning data-tech company that is growing fast with clients across the globe. DataShaka has built a world leading data unification platform, bringing together the data that companies require to reveal the insight that drives better decision making. It’s all about removing data silos and putting data at the heart of business.

The Job

Team/Dept:

Job type: Unpaid / Voluntary

Remote working possible: no

Level of experience required:

Salary/package:

Location

This job is located in London, United Kingdom

Sorry, no agencies please

 

Apply for this job

Fill out as many answers that you can. The more accurate and detailed your responses, the more likely your application will be shortlisted by our team.

To gain experience of working with big data technology