Data Engineer (Senior) 3245

SUMMARY:
We're Hiring: Senior Data Engineer
 
Location: Menlyn, Pretoria (Hybrid – 8 office days/month)
Contract Duration: 3 Years, Renewable
Work Model: Hybrid (subject to manager discretion)
Eligibility: South African citizens/residents preferred. Valid work permit holders will also be considered.
 
Help Build the Future of Secure Data Systems
We're on the lookout for an experienced Senior Data Engineer to join a high-impact team driving a large-scale Initiative. This is a unique opportunity to work with cutting-edge technologies in data engineering, MLOps, and cloud-native systems while contributing to secure, enterprise-grade solutions.
 
Your Responsibilities
As a Senior Data Engineer, you will design and implement robust data pipelines, support machine learning and analytics initiatives, and play a key role in modernizing our data infrastructure. Your work will directly support secure access, monitoring, and compliance in a critical IT environment.

POSITION INFO:
Key duties include:

• 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.

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

• 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

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

• 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