Senior Java Developer — Enterprise, Scalable Solutions

Vitality; Johannesburg; Presencial; ZAR 1 200 000 - 1 500 000; Tempo integral

Resumo da oferta

LexisNexis Intellectual Property Solutions in Johannesburg Melrose Arch seeks an Engineering Manager to lead the design, development, and operation of scalable data platforms and services. You will mentor engineers, drive AI-assisted development practices, and collaborate with analysts and data scientists to deliver impactful data solutions.

The role focuses on shaping data architecture, ensuring reliability, and delivering high-quality backend systems that power critical business outcomes.

Qualificações

• Lead the design, development, and operation of scalable data platforms and services.
• Mentor team members and influence the future direction of Data Engineering.
• Collaborate with analysts, data scientists, and engineers to translate data needs into reliable solutions.

Responsabilidades

• Lead the design, build, and maintenance of data pipelines and backend services.
• Write efficient, well-structured SQL for data extraction and analysis; shape schema design.
• Develop and maintain APIs and services using FastAPI and SQLAlchemy.
• Own technical design decisions for data systems, balancing scalability and reliability.
• Collaborate with data analysts, scientists, and engineers to meet data requirements.
• Drive infrastructure design and upkeep for data workloads (containers, orchestration).
• Mentor engineers, lead code reviews, and raise the technical bar.

Conhecimentos

Data engineering

Python

SQL

API design

Mentoring

Team leadership

AI-assisted development

Ferramentas

FastAPI

SQLAlchemy

Docker

Kubernetes

APIs

Descrição da oferta de emprego

Engineering Manager – Protea Hotel Fire & Ice! by Marriott® Johannesburg Melrose Arch

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.

• 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

• Deep proficiency in Python for building