Senior Python Developer
Job Description
The Focus Group Sandton, South Africa 09 December 2025 Mid / Senior 0 - 0 Full Time Cost to Company 5 years - 10 years Skills APIs AWS Big Data BigQuery CI/CD Data Engineering Git Python Industries Financial Services
Company Summary
A leading JSE-listed financial services company is expanding its Group Data Science Team , a world-class division that partners across digital, clinical, wellness, and behavioural domains. The team collaborates globally and leverages modern big-data platforms to build scalable, future-focused solutions that drive innovation across the organisation. The AI Enablement team is the engineering engine that transforms cutting-edge data science into tangible value for our members and business. We bridge experimental AI and robust, enterprise-scale production systems, enabling scalable, reliable, and efficient AI solutions.
Role Summary
The Senior Python Developer plays a critical role in the AI Enablement function, building and maintaining production-grade Python systems, managing ML pipelines, and ensuring enterprise-scale deployment of AI/ML models. You will contribute to technical standards, support team members, and help turn advanced AI into dependable business value.
Requirements
Essential:
5+ years' experience in Python development
Strong grounding in software engineering principles (SOLID, unit testing, CI/CD, Git)
Experience with ML engineering/MLOps tooling (MLflow, Kubeflow, etc.)
Cloud platform experience (AWS, Azure, or GCP)
Experience designing and maintaining ELT/ETL pipelines in distributed compute environments (Spark, Ray or similar)
Ability to contribute to technical design, code reviews, and engineering best practices
Advantageous:
Experience with Vertex AI, BigQuery, Cloud Composer
Exposure to large-scale data ecosystems and distributed systems
Experience mentoring junior engineers or data scientists
Responsibilities
Build, optimize, and maintain high-performance Python systems for AI/ML delivery
Participate in code reviews and contribute to engineering standards
Design and manage ELT/ETL pipelines in large-scale MPP environments
Support the full ML lifecycle:
deployment, monitoring, and optimisationImplement automated monitoring, alerting, and model observability
Provide guidance to junior developers and data scientists
Collaborate with stakeholders to translate business needs into robust technical solutions
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Job Detail
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Job IdJD1613900
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSandton, GP, ZA, South Africa
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EducationNot mentioned