Senior Data Engineer

Old Mutual; Durban; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A leading financial services group is seeking a Senior Data Engineer based in Durban to lead the development and optimization of data infrastructures. In this position, you will architect high-performance data architectures, mentor a team of engineers, and collaborate closely with various business units. Candidates should possess over 10 years of data engineering experience, expertise in data technologies such as Python and SQL, and a strategic mindset. This is an exciting opportunity to shape the future of data initiatives.

Qualifications

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

Responsibilities

• Lead the design and implementation of scalable, high-performance data architectures.
• Oversee the optimization of data pipelines, databases, and ETL processes.
• Collaborate with data scientists, analysts, and software developers for comprehensive data solutions.

Skills

Action Planning

Business Requirements Analysis

Database Administration

Data Management

Data Modeling

Test Case Management

Education

Bachelor's or Master's degree in Computer Science or related field

NQF Level 9 – Masters

Tools

Python

SQL

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

Senior 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 responsible for 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.

Area: Data And Technology management

Location: Durban | Cape Town | Johannesburg

Responsibilities

• Architectural Leadership: Lead the design and implementation of scalable, high-performance data architectures.
• Provide strategic input into the evolution of the company's data infrastructure and technology stack.
• 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.
• Work on advanced analytics solutions, including machine learning pipelines and predictive modelling.
• Performance Optimization: Oversee the optimization of data pipelines, databases, and ETL processes for maximum efficiency. Conduct in-depth performance tuning and troubleshooting of complex data workflows.
• Team Leadership and Mentorship: Lead a team of data engineers, 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.
• Act as a key liaison between the data engineering team and other business units.
• Data Governance and Compliance: Establish and enforce 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 Master's degree in Computer Science, Information Technology, or a related field.
• 10+ 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

Action Planning, Business Requirements Analysis, Computer Literacy, Database Administration, Database Reporting, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gap Analysis, Information Technology (IT) Support, IT Architecture, IT Implementation, IT Network Security, Market Analysis, Test Case Management, User Requirements Documentation

Competencies

Action Oriented Business Insight Cultivates Innovation Drives Results Ensures Accountability Manages Complexity Optimizes Work Processes Persuades

Education

NQF Level 9 – Masters

Closing Date

19 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.

Old Mutual Story

The Old Mutual Story!