Senior Software Engineer - Data Science (CH1148)

Capital H Staffing and Advisory Solutions; Stellenbosch; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

A medium-sized engineering company in Stellenbosch is seeking a Senior Software Engineer to join their Data Science team. This role involves building and implementing innovative machine learning features to derive insights from large datasets. Candidates should have strong programming skills in Python or Java, and at least 4 years of experience in a relevant field. The company offers exciting growth opportunities in a collaborative work culture, with a hybrid working model.

Benefits

Exciting personal and career growth opportunities

Collaborative and innovative work culture

Use of state-of-the-art technologies

Qualifications

• At least 4 years of hands-on experience in a data-focused software engineering role.
• Experience in the training, deployment and operational support of machine learning models.
• Proficient in database design and querying.

Responsibilities

• Collaborate with a team of skilled professionals in a dynamic environment.
• Convey complex technical concepts to technical and non-technical stakeholders.
• Tackle real-world problems keeping end-user impact in mind.

Skills

Python

Java

SQL

Machine Learning

Data Engineering

Kafka

Docker

Education

Bachelor's degree in Data Science, Computer Science, or related field

Master's degree in Data Science or related field

Tools

Git

Elasticsearch

Jupyter

Grafana

Vertica

Job description

Overview

Our client is a medium-sized engineering company based in Stellenbosch, specializes in the design, development, integration, implementation, and support of complex hardware and software systems. The client’s Data Science team is looking for a Senior Software Engineer with strong Data Science expertise to help design and implement cutting-edge machine learning and AI features. These features will unlock powerful insights and real value from the massive volumes of data processed by our large-scale, real-time distributed systems.

In this role, you'll collaborate with a team of highly skilled professionals in a dynamic and innovative environment. You’ll be involved from the very beginning of the product lifecycle— evolving ideas, implementation, all the way to deployment at client sites. This is a rare opportunity to build solutions that have real-world impact while working at the intersection of software engineering and data science.

Responsibilities

The ideal candidate is a proactive problem solver who takes full ownership of his/her work and thrives in dynamic environments. You are naturally curious, adaptable and eager to learn. Strong communication skills are essential, as you\'ll be expected to convey complex technical concepts clearly to both technical peers and non-technical stakeholders. You’ll collaborate closely across multiple teams to tackle challenging, real-world problems—always keeping the end user and support teams in mind to ensure that the features you help build are both impactful and practical.

Required qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a focus on data science, AI, or machine learning.
• At least 4 years of hands-on experience in a data science or data-focused software engineering role.
• Proven experience in the training, deployment and operational support of machine learning or AI models in production environments.
• Strong programming skills in Python and/or Java, with a solid understanding of software engineering principles and best practices.
• Proficient in database design and querying, including experience with SQL and working with large datasets.
• Comfortable working in Unix-based environments, including scripting, troubleshooting and networking.
• Experience with data wrangling, feature engineering and model evaluation techniques.
• Experience with version control systems, container technologies, microservice-based architectures, and CI/CD pipelines tailored for machine learning workflows.

Preferred qualifications

• Masters in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
• Experience working with real-time or event processing systems, such as Apache Kafka.
• Strong understanding of distributed systems and scalability challenges in big data environments.
• Practical experience with audio processing, NLP, LLM or RAG techniques.
• Experience building and deploying ML services as dynamically scalable microservices.
• Proven ability to mentor junior team members and contribute to technical leadership within a team.
• Background in telecommunications, signal processing or IP networks will be a big bonus.

Tech Stack

• Kafka
• Java
• Git
• Vertica
• Grafana
• Elasticsearch
• gPRC
• Python
• Jupyter
• Docker

What’s on Offer

• Exciting personal and career growth opportunities.
• A collaborative, relaxed, and innovative work culture.
• The chance to work with state-of-the-art technologies and complex distributed systems.
• Hybrid working (In office 3 Days per week)

Other

• Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
• Only SA Citizens will be considered
• Please include your current salary and salary expectations.