Senior Software Engineer

Dijkstrack Ltd.; South Africa; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

LexisNexis Intellectual Property Solutions in Gauteng seeks a Senior Software Engineer to lead the design, development, and operation of scalable data platforms and backend services. You will collaborate with analysts, data scientists, and engineers, mentoring peers and applying AI-assisted development practices.

The role emphasizes reliability, impact, and working within a team delivering data-driven solutions for innovative clients.

Qualifications

• Deep proficiency in Python for building applications, pipelines, or services at scale.
• Strong SQL skills, designing schemas, and optimizing for large datasets.
• Experience in data engineering or backend engineering, owning systems end-to-end.
• Ability to make architectural and technical trade-offs.
• Experience mentoring engineers and leading technical initiatives.

Responsibilities

• Lead the design, build, and maintenance of data pipelines and backend services using Python.
• Write efficient, well-structured SQL for data extraction, transformation, and analysis.
• Develop and maintain APIs and services (e.g. FastAPI/SQLAlchemy) to expose data.
• Own technical design decisions for data systems balancing scalability, reliability.
• Collaborate with data analysts, scientists, and engineers to deliver reliable solutions.
• Drive infrastructure design and upkeep for data workloads (containers, orchestration).
• Monitor, troubleshoot, and improve performance of data systems; mentor engineers.

Skills

Python

SQL

Backend engineering

Data pipelines

API development

FastAPI

SQLAlchemy

Docker

Kubernetes

Tools

FastAPI

SQLAlchemy

Docker

Job description

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Cape Town
Durban_SA
Johannesburg
Full time
R
Are you passionate about building scalable data platforms and enabling data-driven innovation?
Do you enjoy leading technical decisions, mentoring engineers, and leveraging AI-powered development tools to deliver impactful solutions?
About our Team
At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind.
About the Role
As a Senior Software Engineer, you will lead the design, development, and operation of scalable data platforms, services, and infrastructure that power critical business outcomes. Working closely with analysts, data scientists, and engineers, you will drive technical excellence, mentor team members, and help shape the future direction of the Data Engineering function. This role offers the opportunity to combine strong engineering fundamentals with AI-assisted development practices to deliver reliable, high-impact solutions.
Responsibilities
- Lead the design, build, and maintenance of data pipelines and backend services using Python- Write efficient, well-structured SQL for data extraction, transformation, and analysis, and set standards for query and schema design across the team- Develop and maintain APIs and services (e.g. using FastAPI and SQLAlchemy) to expose data to internal and external consumers- Own technical design decisions for data systems, balancing scalability, reliability, and maintainability- Collaborate with data analysts, scientists, and other engineers to understand data needs and deliver reliable solutions- Drive the design and upkeep of infrastructure supporting data workloads (containers, orchestration, provisioning)- Monitor, troubleshoot, and improve the performance and reliability of existing data systems, including leading incident response and root-cause analysis where needed- Mentor other engineers, lead code reviews, and help raise the technical bar across the team
Requirements
- Deep proficiency in Python for building applications, pipelines, or services at scale- Strong SQL skills, writing performant queries, designing schemas, and optimizing for large or complex datasets- Significant experience working in a data engineering or backend engineering environment, including owning systems end-to-end- Demonstrated ability to make sound architectural and technical trade-off decisions- Experience mentoring engineers and/or leading technical initiatives- Comfort working in