Data Engineer (Expert)

Sabenza IT & Recruitment; Pretoria; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Job summary

Sabenza IT & Recruitment in Pretoria, South Africa, seeks an Expert Data Engineer with deep SAP BW/HANA, AWS, Python and SQL expertise to drive data transformation and modelling initiatives. The role covers migration work, cloud-based data processing, and cross-functional collaboration across IT and business teams.

You’ll shape solution architectures, contribute to RCA-driven problem solving, and deliver robust documentation while working in an agile environment with flexible on-site/remote

Qualifications

• BSc degree and 15+ years of relevant data transformation and data modelling experience.
• Expert-level understanding of complex data environments and ability to solve difficult technical problems independently.
• Experience guiding or supporting other technical professionals.

Responsibilities

• 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 synchronisation and system integration.
• Fix, enhance and optimise existing solutions.
• Conduct extensive Root Cause Analysis (RCA) to identify real problems.
• Analyse complex technical issues and develop robust, sustainable solutions.
• Gather business requirements and translate 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.

Skills

SAP ABAP

SQL

AMDP

CDS Views

SAP BW on Hana

Database & Data Warehouse design

AWS Glue / ETL

AWS Step Functions

AWS Lambda

AWS CloudWatch

AWS EventBridge

Amazon S3

Amazon Athena

Python

PySpark

VSCode

GitHub Deployments

Snowflake

Education

BSc in Computer Science / Mathematics / related field

Tools

Gurobi

Job description

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