This is a fantastic opportunity for a DATA ARCHITECT / DATA ENGINEER to build the DATA STRATEGY and be the bridge between Data Management, Data Science, Research and Analytics in an exciting FINANCIAL SERVICES Company, who really do embrace Data Science, Cloud and Tech disruption.
This company is finding creative solutions within Cloud & Data Science to pave the way for bigger and better things, sculpting strategies from mountains of Data.
As DATA ARCHITECT / DATA ENGINEER your role will make a difference through applying cutting-edge data analytics and sciences to business challenges. Your day-to-day role will have you act as a bridge between research and product-ready solutions.
Based in CENTURION this position offers a salary of circa R900K/annum (negotiable).
An established specialist in Asset Management, Investments, Insurance and Healthcare administration – they are a significant player in the Financial Services sector and a keen adopter of technology innovation to drive their business and client-services agenda.
Apply your keen & analytical mind to understand the key business value drivers;
Working with stakeholders to understand their data needs;
Take accountability for data sourcing, conversion, alignment, versioning, validation, post-processing and clean-up;
Manage research-related processes (data management, R&D of new frameworks and services such as Spark, AWS, etc.);
Constantly keep learning!
Keep all research-based services up and running;
Work with Analysts to set up data pipelines;
Assist with debugging and optimisation of Python and R algorithms;
Provide sound software design principles and programming support to research projects.
BSc/BEng degree in computer science, physics, electrical engineering or equivalent (MSc/MEng preferable).
Knowledge and at least 3 years’ experience in the following:
Good software design principles
Any experience in the below will be a plus (but not essential):
SQL Server, including SSIS; Multi-threaded design and parallel/distributed computing; Implementation of numerical methods and data visualisation; AWS; Spark; Scala; NoSQL and NewSQL Databases.
If you qualify for this role, please email your CV directly to:
021 801 5001
If you have not had a response to your application within 14 days please consider your application to be unsuccessful.