Senior Cloud Data Engineer - Melrose Arch (Hybrid) - R1.08m PA
Summary
Senior Cloud Data Engineer designing and optimizing data pipelines, enabling advanced analytics, and working with cloud platforms. Core technologies include Python, SQL, AWS/GCP/Azure, Docker/Kubernetes, and RESTful APIs.
Are you passionate about building scalable data platforms that power intelligent decision-making? Join an innovative, fast-growing technology team where you'll design and optimize modern data pipelines, enable advanced analytics, and drive data engineering excellence. If you thrive in a collaborative, cloud-first environment and enjoy solving complex data challenges with cutting-edge technologies, this is an opportunity to make a meaningful impact while advancing your career.
What You Bring
- 7+ years of professional experience as a Data Engineer or in a similar role developing data ETL pipelines.
- Advanced proficiency in Python for backend development and scripting
- Strong SQL skills with hands-on experience in querying and modeling relational databases
- Experience with cloud platforms such as AWS, GCP, or Azure
- Hands-on with containerization technologies like Docker or Kubernetes
- Solid understanding of RESTful APIs
- Experience with version control systems (GitHub, GitLab, Bitbucket) and CI/CD workflows
- Strong grasp of software development lifecycle (SDLC) and principles of clean, maintainable code
- Demonstrated ability to work independently, own projects end-to-end, and mentor junior engineers
- Familiarity with AI concepts and prompt engineering is a plus
Nice to Have
- Experience with data security, privacy compliance, and access controls
- Knowledge of infrastructure-as-code tools (e.g., Terraform, Helm)
- Background in event-driven architecture or stream processing
What You'll Do
- Design, develop, test, and maintain reliable data pipelines and ETL processes using Python and SQL
- Build and manage API-based data ingestion workflows and real-time data integrations
- Apply software engineering best practices: modular design, testing, version control, and documentation
- Own and optimize data workflows and automation, ensuring efficiency and scalability
- Collaborate closely with senior engineers, data scientists, and stakeholders to translate business needs into technical solutions
- Work with data-devops principles: CI/CD for data workflows, infrastructure-as-code, and containerized ETL deployments
Reference Number for this position is GZ60844 which is a permanent Hybrid position based in Melrose Arch offering a salary of R1.08m per annum, negotiable based on experience and ability.