Data Engineer

Old Mutual; Johannesburg; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A leading insurance firm is seeking a Data Engineer to design, build, and maintain data infrastructure that supports storage, processing, and retrieval. The role involves managing data pipelines using Databricks and ensuring they serve the business efficiently. Candidates should have a degree, at least 3 years of experience, and proficiency in SQL and Python. Experience with cloud platforms and ETL processes is essential.

Qualifications

• Matric required.
• 3+ years of data engineering experience.
• Familiarity with cloud-based data platforms.
• Proficient with SQL & Python programming languages.
• 3 years of experience in data modeling and designing ETL processes.

Responsibilities

• Design, build, and maintain data infrastructure.
• Ensure timely run of data pipelines in Databricks.
• Redesign pipelines applying data modeling best practices.

Skills

Action Planning

Business Requirements Analysis

Computer Literacy

Database Administration

SQL

Python

Data Management

Data Modeling

Problem Solving

Git

PySpark

Education

Degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering

Tools

Databricks

Azure

AWS

GCP

Terraform

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

OMI - iWYZE is looking for a Data Engineer to design, build, and maintain the infrastructure that supports data storage, processing, and retrieval. The role involves maintaining data pipelines running in Databricks to ensure a timely run of jobs to ensure efficiency in serving business units for their reporting. The Data Engineer will also be responsible for redesigning these pipelines, applying data modeling best practices to better support reporting needs.

• Matric

• A degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering

• 3+ years of data engineering experience

• Familiarity with cloud-based data platforms such as Databricks, Azure, AWS, or GCP

• Good understanding of business processes, especially in Finance - including design, modelling, execution, monitoring, optimization, and business process re-engineering

• Should be proficient with at least SQL & Python programming languages

• 3 years of experience in data modelling and designing ETL processes using Kimball methods, such as the Star Schema

• Knowledge of Engineering and Operational Excellence using standard methodologies.Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data management

• Strong problem-solving skills, with the ability to identify issues, exercise sound judgment, and provide practical solutions

• Experience with PySpark or any distributed data processing language

• Experienced in using Git for version control and implementing CI/CD pipelines, along with tools like Terraform for managing infrastructure-as-code

• Collaborate experience in Analytics, Distribution, Underwriting, Actuarial, Claims, Finance, HR, IT and other teams to deliver required service levels in Insurance

• SAS experience to migrate the Old Scripts to Databricks

Skills

Action Planning, Business Requirements Analysis, Computer Literacy, Database Administration, Database Reporting, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gaps 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 Communicates Effectively Cultivates Innovation Drives Results Ensures Accountability Manages Complexity Optimizes Work Processes

Education

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

Closing Date

15 August 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.

The Old Mutual Story!