• Designing, developing, and maintaining scalable data pipelines for structured and unstructured data.
• Developing ETL/ELT processes for analytics, reporting, and dashboarding.
• Ensuring data quality, validation, and compliance across platforms.
• Integrating data from APIs, SSE platforms, and enterprise systems.
• Supporting cloud-based data platforms and optimizing for performance and scalability.
• Collaborating across DevOps, AI, and data science teams.
• Automating data ingestion, transformation, and integration tasks.
• Supporting MLOps workflows and model deployment in cloud environments.
• Owning the operation and support of a cloud-based AI platform.
• Translating business needs into scalable, data-driven solutions.

 
Essential Skills

• Data Engineering, Data Science, Machine Learning
• Python
• MLOps, CI/CD, IaC
• Terraform, APIs
• Agile mindset and ability to adapt within cross-functional teams

 
Advantageous Experience

• Working with cloud data platforms (e.g., AWS, Azure, GCP)
• Familiarity with Big Data frameworks (e.g., Spark, Hadoop)
• Experience with Streaming technologies (Kafka, Flink, etc.)
• Understanding of Data Lakehouse, Data Warehousing, and data governance
• Infrastructure-as-Code & DevOps tools and methodologies
• Experience with data security and compliance best practices

 
Qualifications

• Degree in Computer Science, Information Technology, Data Engineering, Data Science, or related fields
• Certification in Cloud Computing or Analytics is a strong plus

 
What We Offer

• Access to a cutting-edge global IT landscape
• Flexible working – 1,960 hours annually with hybrid flexibility
• Excellent work-life balance
• Remote/on-site blend with modern, state-of-the-art offices
• Dynamic global team collaboration
• Affordable group vehicle promotions (terms and conditions apply)
• Agile culture with clear career development opportunities

 
Interested? Let’s Talk.
This is more than just a role – it’s a chance to shape the future of secure, scalable data architecture in a globally integrated IT environment.
 
? Apply now with your CV on *****@*****.co.za with the subject line as Senior Data Engineer. Only shortlisted candidates will be contacted.