Data Engineer; Expert

Pretoria, South Africa | Posted on 24/08/2026

We’re looking for an Expert Data Engineer who cannavigate comfortably between SAP BW, HANA, AWS, Python, SQL and modern data engineering.

You’ll be working on the Volume & Capacity Management and QMT Frontdesk product, supporting areas such as:

• Capacity Management
• QMTFrontdesk and plant control functions
• Supply& Value Stream Planning
• Datatransformation and modelling
• Cloud-baseddata processing and integration

This is an expert-level role, so we’re looking for someone who doesn't just follow the map, you can help draw the map whenthere isn't one!

• Assist with migrating the product from ABW to CBW, including deployment,testing and resolving migration issues.
• Understand the complete solution landscape and how SAP BW, AWS, Java Frontend and Gurobi work together.
• Setup and support AWS processes for CRUD operations, data synchronisationand system integration.
• Fix,enhance and optimise existing solutions.
• Conductextensive Root Cause Analysis (RCA) to get beyond the symptoms andfind the real problem.
• Analyse complex technical issues and develop robust, sustainable solutions.
• Gatherbusiness requirements and translate them into detailed technical solutions.
• Produce clear and useful technical documentation.
• Work within Agile frameworks, including JIRA-based delivery.
• Collaborate with technical teams, business stakeholders and cross-functional teams.
• Provide strategic technical advice and help manage stakeholder expectations.
• Share knowledge and provide guidance to other team members.

• SAPABAP
• SQL
• AMDP
• CDSViews
• SAPBW on/for HANA
• Database and Data Warehouse design principles

• AWSGlue / ETL
• AWSStep Functions
• AWSLambda
• AWSCloud Watch
• AWSEvent Bridge
• Amazon S3
• Amazon Athena

• Python
• SQL
• Py Spark

• VSCode
• Git Hubdeployments
• GeneralAWS experience
• CDHexperience
• Snowflakeexperience

• Statistics
• Mathematics
• Machine Learning
• Vehicleproduction processes and related data

• BScDegree in Computer Science, Mathematical Statistics, Mathematics or arelated field.
• 15+years of relevant experience in data transformation and data modelling.
• Expert-level understanding of complex data environments.
• Proven ability to solve challenging technical problems independently.
• Experienceguiding or supporting other technical professionals.
• Cutting edge global IT system landscape and processes
• Flexible working of 1960 hours in a 12-month period
• High Work-Life balance
• Remote / On-site work location flexibility
• Highly motivating, energetic, and fast-paced working environment
• Modern, state-of-the-art offices
• Dynamic Global Team collaboration
• Application of the Agile Working Model Methodology