Data Engineer

Old Mutual; Johannesburg; On-site; ZAR 800 000 - 1 100 000; Full time

Job summary

A leading financial services company seeks a Data Engineer to lead the development of data infrastructure in Johannesburg. You will optimize data architectures, collaborate with stakeholders, and mentor team members. Applicants need over 8 years of experience in data engineering, strong programming skills in Python and SQL, and knowledge of cloud platforms like AWS and Azure. This role offers an opportunity to drive innovative data initiatives in a dynamic environment.

Qualifications

• 8+ years of experience in data engineering with a focus on complex data solutions.
• Expert proficiency in programming languages such as Python, SQL, and advanced scripting languages.
• Proven experience in leading and mentoring a team of data engineers.

Responsibilities

• Lead the design and implementation of scalable, high-performance data architectures.
• Champion the use of advanced analytics and big data technologies to derive valuable insights.
• Collaborate with data scientists, analysts, and other stakeholders to understand business needs.

Skills

Python

SQL

Data Analysis

Statistical Analysis Techniques

Education

Bachelor’s degree in Computer Science or related field

NQF Level 7

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

Job description

Let’s Write Africa’s Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

The Data Engineer will lead the development and optimization of our data infrastructure, playing a critical role in shaping the future of our data architecture. They will be involved in designing and implementing complex data solutions, mentoring team members, and collaborating with stakeholders to drive innovative data initiatives for Old Mutual. This position requires extensive experience in data engineering, a deep understanding of advanced data technologies, and the ability to provide strategic guidance.

Cluster: Group Technology & Transformation
Area: Data Technology and Data Management

Location: Durban | Cape Town | Johannesburg

Responsibilities

• Architectural Leadership: Lead the design and implementation of scalable, high-performance data architectures.
• Advanced Data Modelling: Design and implement advanced data models to meet complex business requirements. Optimize data storage and retrieval mechanisms for optimal performance.
• Big Data and Advanced Analytics: Champion the use of advanced analytics and big data technologies to derive valuable insights.
• Performance Optimization: Assist in the optimization of data pipelines, databases, and ETL processes for maximum efficiency. Conduct performance tuning and troubleshooting of complex data workflows.
• Team Mentorship: Providing technical guidance and mentorship. Foster a culture of continuous learning and collaboration within the data engineering team.
• Cross-functional Collaboration: Collaborate with data scientists, analysts, software developers, and other stakeholders to understand business needs and deliver comprehensive data solutions.
• Data Governance and Compliance: Play a key part in establishing data governance policies, ensuring data quality, integrity, and compliance with regulatory requirements.
• Stay abreast of industry best practices and emerging trends in data governance.

Qualifications

• Bachelor’s or degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering with a focus on complex data solutions.
• Expert proficiency in programming languages such as Python, SQL, and advanced scripting languages.
• In-depth knowledge of data warehousing concepts, big data technologies, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Proven experience in leading and mentoring a team of data engineers.
• Strong analytical and problem-solving skills with a strategic mindset.
• Excellent communication and collaboration skills.

Preferred Skills

• Certifications in relevant data engineering, cloud, or advanced analytics technologies.
• Experience with real-time data processing and streaming technologies.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with data security and privacy considerations.

Skills

Analysis of Alternatives (AoA), Analytical Processes, Analytical Sciences, Assessment Testing, Business Intelligence (BI) Analysis, Categorizing Data, Computer Literacy, Data Analysis, Database Reporting, Data Compilation, Data Controls, Data Interpretations, Financial Modeling, Information Retrieval, Managerial Accounting, Numerical Aptitude, Planning and organisational skills, Research Methodologies, Statistical Analysis Techniques

Competencies

Business Insight Ensures Accountability Financial Acumen Manages Complexity Optimizes Work Processes Resourcefulness Self-Development Tech Savvy

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent (Required)

Closing Date

23 December 2025 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.