Junior Data Engineer

Location: Gauteng, South Africa; Hybrid

• Proficiency in SQL and data querying fundamentals.
• Understanding of relational databases and structured data management.
• Knowledge of data pipelines, ETL/ELT processes, and batch data processing concepts.
• Ability to troubleshoot, debug, and resolve technical issues.
• Familiarity with version control systems, particularly Git.
• Exposure to Python or similar scripting languages for data-related tasks.
• Understanding of data warehousing, dimensional modelling, and analytical data concepts.
• Familiarity with workflow orchestration tools such as Airflow or SQL Server Agent.
• Knowledge of cloud and on-premises storage concepts.
• Awareness of distributed processing, streaming architectures, and lakehouse technologies.
• Exposure to modern data engineering tools and platforms, including Spark, PySpark, Kafka, Redpanda, ClickHouse, Iceberg, and Delta Lake.
• Understanding of monitoring, observability, alerting, and operational support practices for data workloads.
• Familiarity with CI/CD pipelines, deployment automation, and engineering best practices.
• Ability to work effectively with technical documentation, runbooks, and team standards.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate with technical and non-technical stakeholders.
• High attention to detail when working with business-critical data.
• Strong accountability, ownership mindset, and commitment to continuous learning and professional growth in data engineering.

 

The Junior Data Engineer will help to build and support data pipelines and platform components that power analytics and business use cases across the organisation. This role is ideal for a Junior Engineer with a solid technical foundation who is eager to build hands-on experience in data engineering, learn modern platform practices, and grow within a high-volume production environment