Old Mutual

Data Engineer

Pinelands Full time

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


 

You will form part of RMM within Mass Foundation which is one of the largest customer-facing business segments in Old Mutual. Our vision is to be our customers' most trusted financial partner, passionate about helping them achieve their lifetime goals. Our mission is to enable positive futures for our customers, by bridging the gap between their resources and their financial service’s needs. Our primary goal is to facilitate access to financial solutions for our customers and to keep pace with their changing needs. Our target market is the low and emerging-middle income segment.


The team’s primary focus is to build and establish the data platform and master data management capabilities by applying industry knowledge, best practices and innovative ideas to take Old Mutual into the future through the use of best of breed technologies and applied thinking and processes on its strategic journey to the cloud.

To complement the existing cross-functional team, Old Mutual is looking for a Data Engineer who will assist in designing and also implement scalable and robust processes to support the data engineering capability. This role will be responsible for implementing and supporting large-scale data ecosystems across the Group. This incumbent will use best practices in cloud engineering, data management and data storage to continue our drive to optimize the way that data is stored, consumed and ultimately democratized. The incumbent will also engage with stakeholders across the organization with use of the Data Engineering practices facilitating the improvement in the way that data is stored and consumed.

Responsibilities:

  • Assist in designing and implementing scalable and robust processes for ingesting and transforming complex datasets.

  • Designs, develops, constructs, maintains and supports data pipelines for ETL from a multitude of sources.

  • Creates blueprints for data management systems to centralize, protect, and maintain data sources.

  • Focused on data stewardship and curation, the data engineer enables the data scientist to run their models and analyses to achieve the desired business outcomes.

  • Ingest large, complex data sets that meet functional and non-functional requirements.

  • Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.

  • Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.

  • Supports the organisation’s cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices.

  • Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications.

  • Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies.

  • Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key business problems.

  • Provide support in the operational environment with all relevant support teams for data services.

  • Provide input into the management of demand across the various data streams and use cases.

  • Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.

  • Support test and deployment of new services and features.

  • Provides technical leadership to junior data engineers in the team.

Minimum Qualifications/Experience (Required for the job):

  • Matric, with a degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering.

  • 3+ years of data engineering experience.

  • 3+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to , any of the following combinations (1) SSIS ,SSRS or something similar (2) ETL Frameworks, (3) Spark (4) AWS data builds.

  • The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM, DynamoDB and DB2) will also be beneficial.

  • Should be at least at a proficient level in at least one of Python or Java.

  • Should be Proficient in bash SQL.

  • Some experience with R, AWS, XML, json, cron will be beneficial

  • Experience with designing and implementing Cloud (AWS) solutions including use of APIs available.

  • Some experience with Dev/OPS architecture, implementation and operation would be advantageous.

  • 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.

  • Some experience in applying SAFe/Scrum/Kanban methodologies.

  • Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process re-engineering.

  • Good problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution.

Additional Qualifications/Experience (Preferred, not a requirement)

  • Good programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as python, scala, java and suite of Microsoft languages C# and F# preferable.

  • Some experience with Dev/OPS architecture, implementation and operation would be advantageous.

  • Some experience with R, AWS, XML, json, cron will be advantageous.

Skills

Amazon Web Services (AWS), Apache Spark, ETL Tools, Microsoft SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS)

Competencies

Action Oriented

Business Insight

Communicates Effectively

Cultivates Innovation

Drives Results

Ensures Accountability

Manages Complexity

Optimizes Work Processes

Education

Bachelors Degree (B) (Required)

Closing Date

15 May 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.

The Old Mutual Story!