Job Description

Our client is seeking a Data Engineer (Senior).
This role is pivotal in providing cutting-edge IT solutions to global operations while ensuring the seamless integration and management of the Data Science and Engineering applications within the Group IT Hub South Africa.
? Senior-level role
? AWS Data Services
? AI Industrialization focus
Position Details:
Contract Start Date: 01-04-2026
Contract End Date: 31-12-2028
Location: Midrand/Menlyn/Rosslyn/Home Office rotation
Role Group: DevOps
Nationality: South African citizens / residents are preferred. Applicants with valid work permits will also be considered.
Nationality: 6-8 Years related experience
Product / Team Context: Spearhead the industrialization of new AI technologies and concepts by supporting the business with the implementation of AI pilot use cases.
Qualifications & Experience:
Bachelor's degree Data Science, Computer Science, Software Engineering, or equivalent relevant hands-on experience
Minimum 4 years' hands-on experience in data science and/or data engineering roles, including production deployments
Demonstrated experience working with AWS data services and building scalable data platforms and production ML solutions
Essential Skills:
Strong knowledge of Data Science fundamentals including statistics, machine learning, and data modeling
Proficiency in Python, SQL, and data processing libraries (e.g., Pandas, PySpark)
Hands-on experience with modern data orchestration and storage technologies (e.g., Apache Airflow, Snowflake, AWS S3)
Familiarity with DevOps/MLOps principles and tools (e.g., Git, Jenkins, Docker, Kubernetes)
Understanding of cloud computing concepts and experience with cloud providers (AWS preferred)
Experience with data visualization tools (e.g., Tableau, Power BI)
Excellent analytical and problem-solving skills
Effective communication and collaboration skills
Advantageous Skills:
Experience with streaming technologies and real-time data processing (e.g., Kafka, Kinesis)
Familiarity with containerisation and orchestration (Docker, Kubernetes) and cloud deployment patterns
Experience with BI tools and data preparation for visualization platforms (e.g., Tableau)
Knowledge of MLOps practices: model versioning, CI/CD for models, monitoring and model lifecycle management
Familiarity with infrastructure-as-code and DevOps tooling (Terraform, CloudFormation, GitOps)
Experience with advanced data governance, security practices and compliance in cloud environments
Experience with AI productivity and assistive tools while retaining strong ability to validate and optimise AI outputs
Prior exposure to Extreme Programming (XP) practices within Agile teams (pair programming, test-first)
Experience with scripting (Bash / Shell, PowerShell) for automation and operational tasks
Experience in technical data modelling and schema design (not drag-and-drop approaches)
Coaching and giving training to fellow colleagues and users when required.
Problem solving capabilities.
Strong presentation skills
Any additional responsibilities assigned in the Agile Working Model (AWM) Charter
Key Responsibilities:
Design, build and maintain scalable and reliable data pipelines and architectures to support the industrialization of AI pilots
Implement and optimize machine learning models and algorithms into production-ready data systems
Collaborate with data scientists, researchers, and software engineers to transition AI prototypes into robust, scalable solutions
Conduct data exploration, preprocessing, and feature engineering to enhance model performance and data quality
Monitor and troubleshoot data pipeline performance, ensuring high availability and data integrity
Leverage AWS data services (S3, Glue, Lambda, RDS, VPC, IAM, etc.) to implement robust cloud-native data solutions
Orchestrate data workflows, schedule jobs and manage dependencies to ensure timely, reliable data delivery
NB: Please note that only South African citizens or applicants with valid work permits can be considered. If you do not hear from us within two weeks, please consider your application unsuccessful.
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Skills Required