Data Engineer

We are looking for Data Engineer who will be responsible for the installation, configuration, upgrade, administration, monitoring and maintenance of complex database environments to enable database strategies to support organisational needs. You will work closely with Business Intelligence analysts, Data analysts and Data Scientists to implement robust & trustworthy data to support high performing ML algorithms, predictive models and support real-time data visualisation requirements across the organisation.

Minimum Requirements:

A relevant qualification in Information Technology.

Post graduate degree (advantageous).

At least 5-10 years’ experience in Solution Architecture, Data Architecture, Business Intelligence.

Leading in large-scale digital, data and analytics and/or business intelligence projects.

Base SAS programming and SAS data studio.

General SAS experience

Agile Methodologies experience.

In-depth knowledge and experience of Retail SAP architecture, implementation and operations

Strong networks and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI)

Expert knowledge of complex IT environments (technical, security, business)

Knowledge of technology and SDLC and Agile methodology

Knowledge of retail industry data models

Advanced knowledge of compliance and IT governance

Competencies Requirements for the position:

Data Architecture, Data Modelling and Data Pipelining

Solutions Architecture

Model Testing skills

Leading and Supervising

Project management

Conflict & Stakeholder management

Writing and Reporting

Applying Expertise and Knowledge

Financial acumen

Deciding and initiating Action

Working with People

Presenting and communicating information

Analysing

Learning and Researching

Planning and Organising

Delivering results and meeting customer expectations

Key Dials:

Execute on the data engineering strategy, policy and processes.

Ensure that portfolio and management reporting is produced in a timely manner and aligned to the agreed communications plan.

Create end user forums that allow collaboration and transfer of knowledge on appropriate data sources and usage of various databases.

Manage customer centricity within area of responsibility.