Job Description
This is an excellent opportunity for a business intelligence developer to become data engineer gaining experience building and implementing scalable pipelines working for for cloud-based logistics and transport management platform
Based in Cape Town this opportunity is paying between R800K – R960K
THE COMPANY
This cloud-based logistics and transport management platform that helps businesses efficiently manage their freight operations. It connects customers with a large network of transport service providers, offering solutions for both short-term and long-term transportation needs. With a bidding platform for immediate access to a vast fleet of trucks and fixed-rate contracts for stability, the company provides essential support for businesses, especially during peak seasons.
THE ROLE
As the Data Engineer, you will play a pivotal role in designing and implementing robust data solutions to drive decision-making. Your responsibilities will include developing and maintaining detailed, accurate reports, collaborating with teams to identify key metrics, and ensuring data reliability. You will design and optimize data pipelines, using ETL tools such as Apache Airflow or Talend to integrate data seamlessly across systems.
Additionally, you will manage scalable and secure data storage solutions while optimizing data flows and processes. Leveraging data visualization tools like Tableau or Power BI, you will create actionable insights to support business objectives. Proficiency in Excel (advanced formulas, pivot tables, macros) and SQL for querying and managing relational databases is essential.
THE REQUIREMENTS
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
2–4 years of experience in a data engineering or similar role.
Exposure to the logistics industry or knowledge of supply chain management is advantageous.
Proficient in Excel, with strong skills in advanced formulas, pivot tables, and macros.
Experience with SQL for querying and managing relational databases.
Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
Knowledge of data visualization tools such as Tableau, Power BI, or similar.
Programming experience in Python, R, or another data-centric language is a plus.