CTC: R600 000 – R900 000 per annum

A boutique, international data analytics consulting company employs 80 data scientists, developers and consultants. They are exclusively partnering with us, BigTalent to support them in sourcing and securing a Data Engineer and a Data Scientist.

At this firm, small, diverse teams work together to develop data analytics products and solutions for over 150 companies in 30 countries in Africa, Middle East and Europe. Their client base range from small microlending companies to large multi-national FMCG’s. The Data Engineer will be responsible for setting up data management platforms as well as developing, maintaining and testing infrastructures to support the analysts.

Duties include:

  • Analysing and organizing raw data
  • Building data systems and pipelines
  • Evaluating client business needs and objectives
  • Identifying, designing, and implementing process improvements by automating manual processes, optimizing data delivery as well as re-designing infrastructure for greater scalability, and so on.
  • Preparing data for prescriptive and predictive modelling
  • Exploring ways to enhance data quality and reliability
  • Monitoring production activities to ensure timely and effective reporting, tracking, follow-up and communication of problems
  • Collaborating with Data Analysts and Business Advisory Consultants on several projects
  • Compiling professional consulting reports and presentations for delivery to clients
  • Supporting new product innovation within the analytics team

Requirements:

  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Python)
  • Hands-on experience with SQL database design and best practices

This company offers a hybrid work model, they are based in Cape Town.

Our client is looking to finalise the process before year end, please don’t wait, apply today!

Desired Skills:

  • Data Analysis
  • Data Engineer
  • Building ETL Pipelines
  • Organising Data

Desired Work Experience:

  • 5 to 10 years Data Analysis / Data Warehousing

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