Junior Data Engineer
Summary
Entry-level data engineering role in Cape Town: research, capture, and quality-check data (including student accommodation pricing and availability) while building skills in data pipelines, databases, and automation. Suited to detail-oriented self-starters who document their work and own tasks end to end.
Junior Data Engineer job vacancy in Cape Town.
Does your enjoyment of cleaning and standardising data drive you in a data engineering position? Join a growing team in Cape Town as a Junior Data Engineer, where you'll build your skills working with data pipelines, databases and automation.
This is an excellent opportunity for someone with a technical mindset, strong attention to detail and a desire to develop a career in data engineering.
Requirements:
- Matric, relevant qualification
- Strong, sustained attention to detail during repetitive and high-volume work
- Good time management and self-organisation
- Sound research and problem-solving: verifies before trusting, investigates before escalating; researches and makes informed decisions with good justification
- Clear written and spoken English
- Takes ownership of tasks end to end; asks for support appropriately; works well in a team
- Comfortable learning new tools and adapting as processes change
- Confident with computers and everyday digital tools
Duties and Responsibilities::
- Research and verify data across multiple sources
- Gather market intelligence to support the development of the dataset
- Capture and maintain data across relevant sources to a high standard of accuracy and completeness, including regular accommodation price and availability updates
- Apply quality assurance to your own work; identify and correct errors, inconsistencies, and gaps
- Observe and analyse data changes across the student accommodation sector
- Follow data guidelines, processes, and quality assurance checks consistently
- Resolve issues independently where possible; elevate promptly when not
- Organise your workload to meet deadlines without compromising quality
- Communicate updates, questions, and blockers clearly; document your work for others to follow
- Support dataset-related projects and other areas of the business during busy periods, as needed