Data Engineer

Old Mutual Investment Group (SA); Cape Town; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Old Mutual Investment Group (SA) seeks a technically strong Data Engineer to design, develop and optimise scalable data pipelines and cloud-based platforms. You will collaborate with stakeholders to translate business needs into reliable data solutions that support analytics, reporting and operations.

The role requires 4-8 years in data/ software engineering, strong SQL/C#/Python skills, and knowledge of data warehousing principles.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics or a related field.
• 4-8 years' experience in Data Engineering, Software Engineering or a related technical role.
• Proven experience with Microsoft SQL Server and relational database design principles.
• Strong proficiency in SQL and C# and/or Python development.
• Experience building and maintaining ETL/ELT pipelines and data integration solutions.
• Understanding of data structures, algorithms and software development principles, including Set Theory and SOLID.
• Experience with source control, CI/CD pipelines and DevOps practices.
• Understanding of data warehousing, dimensional modelling and data architecture.
• Experience with data visualization and reporting platforms would be advantageous.
• Microsoft Azure Data Engineer Associate certification would be advantageous.
• Experience within financial services, asset management or investment environments would be advantageous.
• Exposure to machine learning, advanced analytics or big data technologies would be advantageous.

Responsibilities

• Design, develop and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimise data models, databases and data integration solutions.
• Develop data solutions that support reporting, analytics, machine learning and operational requirements.
• Contribute to the design and architecture of cloud-based data platforms.
• Implement data quality, validation and monitoring frameworks to ensure data integrity and reliability.
• Optimise database performance and troubleshoot data-related issues.
• Take ownership of the quality, stability and performance of data solutions.
• Work closely with business stakeholders to understand data requirements and translate them into practical, buildable technical solutions.
• Partner with software engineers and data consumers to ensure solutions meet business needs and deliver meaningful value.
• Communicate openly and clearly, building trusted relationships across technical and business teams.
• Support deployment, testing and maintenance through CI/CD and DevOps practices.
• Identify opportunities to improve data platforms, processes and ways of working.
• Stay curious about emerging technologies and continuously build your technical capability.
• Document technical solutions, standards and processes to support consistency and knowledge sharing.
• Mentor junior team members and contribute to building technical capability within the engineering team.
• Share knowledge and collaborate with colleagues to solve problems and achieve shared outcomes.

Skills

SQL Server

SQL

C#

Python

ETL/ELT pipelines

Data modeling

Azure

CI/CD

DevOps

Data warehousing

Data visualization

Education

Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics or related field

Tools

Microsoft Azure Data Engineer Associate

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

We are seeking a Data Engineer to join our technology team. You will be responsible for designing, developing, maintaining and optimising data platforms, pipelines and integrations that support business intelligence, analytics, reporting and operational processes. You will play an important role in building scalable, reliable and future‑fit data solutions, working closely with business stakeholders, software engineers and data consumers to turn business needs into effective technical solutions.

What You’ll Be Trusted With

Data Engineering & Solution Delivery

Design, develop and maintain scalable data pipelines and ETL/ELT processes. Build and optimise data models, databases and data integration solutions. Develop data solutions that support reporting, analytics, machine learning and operational requirements. Contribute to the design and architecture of cloud‑based data platforms.

Data Quality & Reliability

Implement data quality, validation and monitoring frameworks to ensure data integrity and reliability. Optimise database performance and troubleshoot data‑related issues. Take ownership of the quality, stability and performance of data solutions.

Stakeholder Partnership

Work closely with business stakeholders to understand data requirements and translate them into practical, buildable technical solutions. Partner with software engineers and data consumers to ensure solutions meet business needs and deliver meaningful value. Communicate openly and clearly, building trusted relationships across technical and business teams.

Technology & Continuous Improvement

Support deployment, testing and maintenance through CI/CD and DevOps practices. Identify opportunities to improve data platforms, processes and ways of working. Stay curious about emerging technologies and continuously build your technical capability. Document technical solutions, standards and processes to support consistency and knowledge sharing.

Team Contribution

Mentor junior team members and contribute to building technical capability within the engineering team. Share knowledge and collaborate with colleagues to solve problems and achieve shared outcomes. Contribute to a culture of constructive challenge, learning and continuous improvement.

Who you are

You are a technically strong and curious Data Engineer who enjoys solving complex problems and building reliable solutions. You are comfortable working across technical and business environments and take ownership of delivering quality outcomes. You bring:

• A Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics or a related field.
• 4-8 years' experience in Data Engineering, Software Engineering or a related technical role.
• Proven experience working with Microsoft SQL Server and relational database design principles.
• Strong proficiency in SQL and C# and/or Python development.
• Experience building and maintaining ETL/ELT pipelines and data integration solutions.
• Understanding of data structures, algorithms and software development principles, including Set Theory and SOLID.
• Experience with source control, CI/CD pipelines and DevOps practices.
• Understanding of data warehousing, dimensional modelling and data architecture.
• Experience with data visualisation and reporting platforms would be advantageous.
• Microsoft Azure Data Engineer Associate certification, or equivalent, would be advantageous.
• Experience within financial services, asset management or investment environments would be advantageous.
• Exposure to machine learning, advanced analytics or big data technologies would be advantageous.

The Strengths You’ll Bring

Scan the Horizon: You stay curious about emerging technologies and look for opportunities to strengthen our data capabilities. Innovate to Grow: You challenge existing ways of working and find smarter, scalable solutions to complex problems. Learn and Adapt: You embrace change, continuously develop your technical capability and apply new thinking to your work. Partner with Intent: You build effective relationships with business and technology stakeholders, understanding their needs and working towards shared outcomes. Communicate Candidly: You communicate clearly, constructively and openly, particularly when navigating complex technical challenges. Foster Trust: You are dependable, transparent and consistent in delivering on your commitments. Focus on What Matters: You prioritise work that creates meaningful value for the business and its stakeholders. Own It: You take accountability for your deliverables, data quality and the solutions you build. Deliver Excellence: You hold yourself to high standards and take pride in delivering reliable, sustainable and high-quality solutions.

Let’s Succeed Together At OMIG, how you work matters as much as what you deliver.

We shape a bold future by staying curious and finding better ways to work, wow our clients by focusing on what matters and delivering excellence, and succeed together by partnering with intent, communicating candidly and fostering trust.

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

15 September 2026 , 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

Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.