Old Mutual Limited (OML) is a premium African financial services group that provides a wide range of financial solutions, including insurance, investments, savings, banking, and lending, to retail and corporate customers across 12 countries. Primary listing on the Johannesburg Stock Exchange (JSE), with secondary listings on the Zimbabwe, Namibian, and Botswana stock exchanges.

Job Description

• As a Junior Data Engineer, you will be responsible for supporting the design, development, and maintenance of our data infrastructure. You will work closely with the data engineering team to implement data pipelines, optimize data workflows, and contribute to the overall success of our data architecture. This is an excellent opportunity for a motivated individual with a strong interest in data engineering and a desire to grow in a dynamic and collaborative environment.
• Area: Data And Technology management
• Location: Durban | Cape Town | Johannesburg
• Data Pipeline Development: Collaborate with senior data engineers to design, develop, test, and deploy data pipelines. Implement and maintain scalable ETL (Extract, Transform, Load) processes to ensure efficient data processing.
• Database Management: Assist in managing and optimizing databases, ensuring data integrity and performance. Contribute to the design and implementation of database schema and structures.
• Data Integration: Integrate data from various sources and formats into a unified data platform. Troubleshoot and resolve data integration issues in a timely manner.
• Coding and Scripting: Utilize programming languages (e.g., Python, SQL) to write efficient and maintainable code for data engineering tasks.
• Collaborate with the development team to integrate data solutions into software applications.
• Documentation: Document data engineering processes, workflows, and code to ensure transparency and knowledge sharing within the team.
• Quality Assurance: Conduct testing and debugging of data pipelines to ensure accuracy and reliability. Implement data validation techniques to identify and address data quality issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and software developers, to understand data requirements and deliver effective solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 1+ year of experience
• Strong understanding of databases, data structures, and data modelling concepts.
• Proficiency in programming languages such as Python and SQL.
• Familiarity with ETL tools and data integration techniques.
• Knowledge of data warehousing and database management systems.
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Skills:

• Experience with big data technologies (e.g., Apache Spark, Hadoop).
• Knowledge of version control systems (e.g., Git).
• Understanding of data security and privacy considerations.

Skills

• Action Planning, Application Development, Business Process Design, Computer Literacy, Data Management, Data Modeling, Evaluating Information, Identifying Customer Needs, Information Technology (IT) Support, Market Analysis, Oral Communications, Product Development, Technical Support, Technical Troubleshooting, Test Case Management, User Requirements Documentation, Web Development

Competencies

• Action Oriented
• Collaborates
• Communicates Effectively
• Cultivates Innovation
• Customer Focus
• Decision Quality
• Ensures Accountability
• Manages Complexity

Education

• NQF Level 7 – Degree, Advance Diploma or Postgraduate Certificate or equivalent