• Lieu: Johannesburg, South Africa
  • Salaire: ZAR40000 - ZAR60000 per month + medical + pension
  • Technologie: Microsoft BI Jobs
  • Type de contrat: Permanent
  • Date de publication: 11th Dec, 2019
  • Référence: NFI - 0979821211254

Data Engineer - MS Partner - CPT

My client is one of South Africa's fastest growing MS partners in SA. They currently requires a Data engineering specialist to join the team

This new innovative company is looking for someone who can grasp the databases well, enhance them, and start to implement a BI / Data Science strategy into the company.

As a global corporation my client has the following requirements

- 4 - 6 years BI development
- Strong development background
- A passion for Data Science
- 2 years workig experience with Data Science and Machine Learning perferable
- Strong exposure in Azure (implemented a few Azure solutions)



The salary is negotiable and is based on the candidates, personality and experience. The role also offers fantastic benefits and bonuses to drive success.

The role is high in demand and has already attracted a lot of interest and wants to start the interview process shortly. If you are interested in the role and would like to be involved in the process, please send your CV to l.reeves@nigelfrank.com or call Lewis on 0044 191 338 7518.

Nigel Frank International Ltd is acting as an Employment Agency in relation to this vacancy.
Nigel Frank International is the leading Microsoft recruitment firm globally, advertising more Microsoft jobs than any other agency. We deal with both Partners and End Users throughout Africa and the Globe and we have never had more live requirement jobs for Microsoft BI professionals. By specialising solely in placing candidates in the market I have built relationships with key employers in South Africa and have an unrivalled understanding of where the best opportunities and BI jobs are.


MS BI, Microsoft BI, Business Intelligence, SSRS, SSIS, Qlikview, ETL, Tableau, Developer, Technical, Consultant, AZURE, Data Lake, Data Factory

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