Junior Data Engineer (Johannesburg)

Are you passionate about data, automation, and technology? We are looking for a highly capable and intellectually curious Junior Data Engineer to join our innovative tax and advisory business.

This opportunity is ideally suited to individuals who have demonstrated exceptional academic achievement and possess strong analytical and problem-solving abilities. We are seeking candidates with a proven track record of academic excellence who thrive in challenging environments and have a genuine passion for leveraging technology to solve complex business problems.

Responsibilities:

• Collaborate with data analysts, software engineers, and product owners to design and implement data solutions within an agile framework.
• Assist in shaping data architecture and technical designs using collaborative tools such as Jira.
• Develop, enhance, and automate data ingestion and ETL processes using low-code platforms such as KNIME.
• Integrate and manage data from multiple internal and external sources using SQL, PostgreSQL, and cloud-based technologies.
• Utilize Python and Java to build and optimize automation workflows and data-processing solutions.
• Support the development and maintenance of dashboards, reports, and analytics solutions using Power BI and Salesforce.
• Ensure data quality, integrity, and availability across business systems.
• Contribute to continuous improvement initiatives and best practices in data engineering.

Qualifications and experience:

• Bachelor's degree in computer science, information technology, engineering, mathematics, statistics, data science, or a related field.
• A strong academic record is essential.
• Candidates who have consistently achieved high academic results and demonstrated excellence in quantitative or technical disciplines will be highly regarded.
• Strong academic background with a passion for data and technology.
• Knowledge of SQL and relational databases such as PostgreSQL or Microsoft SQL server.
• Basic experience with Python and/or Java programming.
• Understanding of ETL concepts and data integration processes.
• Exposure to data visualization tools such as Power BI, Tableau, or similar platforms.
• Familiarity with Agile methodologies is advantageous.
• Exposure to cloud platforms such as AWS or Microsoft Azure is beneficial.