Graduate Data Engineer - Hybrid (AWS, ETL, Data Pipelines)

BigTalent; Cape Town; Hybrid; ZAR 360,000 - 480,000; Full time

Benefits offered by this job

Hybrid work model

Learning platforms

Mentorship

Communication allowance toward mobile

Social activities

Weekly team lunches

Job summary

BigTalent in Cape Town is looking for a Graduate Data Engineer to join a global Data and AI consultancy. You’ll work with seasoned data engineers and apply your BEng training to real-world data and technology challenges.

You’ll gain hands-on experience with Python, SQL, data pipelines, ETL, data modelling, AWS, and CI/CD, while contributing to client projects in a collaborative, learning-focused environment.

Qualifications

• Completing your BEng degree in 2026 and pursuing a career in Data Engineering.
• Join a global Data and AI consultancy's Data Engineering team to apply engineering skills to data challenges.
• Collaborate with experienced engineers on real client projects and develop practical data solutions.

Responsibilities

• Work alongside experienced Data Engineers to learn and contribute to data projects.
• Develop data pipelines and ETL processes to move and transform data.
• Assist with data modelling and architecture for scalable solutions.
• Engage with cloud technologies, especially AWS, and modern data tooling.
• Contribute to CI/CD and automation efforts and implement Infrastructure as Code.
• Participate in data governance and security practices on client engagements.

Skills

Python

SQL

ETL pipelines

Data modelling

Data architecture

AWS

CI/CD

Infrastructure as Code

Data governance

Education

BEng degree or equivalent

Tools

AWS

Job description

BigTalent in Cape Town is looking for a Graduate Data Engineer to join a global Data and AI consultancy. You’ll work with seasoned data engineers and apply your BEng training to real-world data and technology challenges.

You’ll gain hands-on experience with Python, SQL, data pipelines, ETL, data modelling, AWS, and CI/CD, while contributing to client projects in a collaborative, learning-focused environment.