Data Engineer (Expert)
Summary
Expert Data Engineer migrating SAP BW products to CBW, building AWS-based data pipelines and integrations, and performing root cause analysis using SAP BW/HANA, AWS services, Python, and SQL in an Agile team environment.
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 dataengineering.
You’ll be working on the Volume & Capacity Managementand QMT Frontdesk product, supporting areas such as:
- CapacityManagement
- 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 forsomeone who doesn't just follow the map, you can help draw the map whenthere isn't one!
What You’ll Be Doing
- Assistwith migrating the product from ABW to CBW, including deployment,testing and resolving migration issues.
- Understandthe complete solution landscape and how SAP BW, AWS, Java Frontend andGurobi 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.
- Analysecomplex technical issues and develop robust, sustainable solutions.
- Gatherbusiness requirements and translate them into detailed technicalsolutions.
- Produceclear and useful technical documentation.
- Workwithin Agile frameworks, including JIRA-based delivery.
- Collaboratewith technical teams, business stakeholders and cross-functional teams.
- Providestrategic technical advice and help manage stakeholder expectations.
- Shareknowledge and provide guidance to other team members.
Requirements
Must-Have Skills
SAP & Data
- SAPABAP
- SQL
- AMDP
- CDSViews
- SAPBW on/for HANA
- Databaseand Data Warehouse design principles
AWS
- AWSGlue / ETL
- AWSStep Functions
- AWSLambda
- AWSCloudWatch
- AWSEventBridge
- AmazonS3
- AmazonAthena
Programming
- Python
- SQL
- PySpark
Development & Deployment
- VSCode
- GitHubdeployments
- GeneralAWS experience
- CDHexperience
- Snowflakeexperience
Nice-to-Have Skills
- Statistics
- Mathematics
- MachineLearning
- Vehicleproduction processes and related data
Qualifications &Experience
- BScDegree in Computer Science, Mathematical Statistics, Mathematics or arelated field.
- 15+years of relevant experience in data transformation and datamodelling.
- Expert-levelunderstanding of complex data environments.
- Provenability 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