Data Engineer (Mid-Level)

iOCO Pty Ltd; Cape Town; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A tech solutions company based in Cape Town is looking for a Mid-Level Data Engineer to develop and maintain data pipelines and ETL processes. You will work in a collaborative environment with data scientists and analysts, ensuring seamless data integration. The ideal candidate should have a minimum of 3 years’ experience and relevant qualifications in Information Communication Technology or a related field. Understanding cloud technologies is advantageous.

Qualifications

• Minimum of 3 years’ experience as a Data Engineer.
• Experience with ETL processes, data pipelines, and system integrations.
• Strong analytical, problem-solving, and collaboration skills.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Support the integration of data sources into centralized systems.
• Monitor and troubleshoot data flows to ensure reliability and performance.

Skills

Experience with ETL processes

Data pipelines

SQL

Python

Spark

Airflow

Analytical skills

Problem-solving

Collaboration

Education

NQF Level 6 or higher in ICT, Information Systems, or Computer Science

Tools

Azure

AWS

Google Cloud

Job description

At iOCO, we use robust data pipelines to power intelligent solutions and business insights. We are seeking a Mid-Level Data Engineer to develop, maintain, and optimize ETL processes, ensuring high-quality, reliable data flows across systems. You will collaborate with data scientists, analysts, and IT teams to ensure seamless data integration and availability.

What You’do:

• Develop and maintain data pipelines and ETL processes.
• Support the integration of data sources into centralized systems.
• Monitor and troubleshoot data flows to ensure reliability and performance.
• Assist in data pipeline development, testing, and documentation.
• Support data integration tasks across various systems.
• Learn and apply modern data engineering tools and best practices.

Your Expertise:

• Minimum of 3 years’ experience as a Data Engineer.
• Experience with ETL processes, data pipelines, and system integrations.
• Knowledge of data engineering tools and platforms (e.g., SQL, Python, Spark, Airflow).
• Strong analytical, problem-solving, and collaboration skills.
• Ability to document workflows and maintain data integrity.

Qualifications:

• NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT), Information Systems, Computer Science, or a related field.
• Cloud certification (Azure, AWS, or Google Cloud) advantageous.