OMF Junior Data Engineer

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 Junior Data Engineer will assist in designing and also implementing scalable and robust processes to support the data engineering capability in Old Mutual Finance(OMF). This role will be responsible for implementing and supporting large-scale data ecosystems across OMF. 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 OMF with use of the Data Engineering practices to facilitate the improvement in the way that data is stored and consumed.

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

• Design, implement and support the creation and maintenance of data pipelines from a multitude of sources.

• 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.

• Development of API’s for returning data to 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 organisation 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.

• 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.

MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)

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

• 1 to 3 years of data engineering experience  

• At least 2 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 and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.

• Deep and Extensive AWS knowledge and skills: Glue, S3, Lambda, IAM, Cloudformation

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

• Some experience with the Python programming language.

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

• 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.

• 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

• 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.

•  Less experience than the Intermediate Data Engineer (O)(who needs to 3 to 5+ years).

• Less experience than the Intermediate Data Engineer (O)(who needs to have 5+ years).

Skills

Education

Closing Date

23 September 2024

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 Limited is pro-vaccination and encourages its workforce to be fully vaccinated against Covid-19.

All prospective employees are required to disclose their vaccination status as part of the recruitment process.

Please refer to the Old Mutual’s Covid-19 vaccination policy for further detail. Kindly note that Old Mutual reserves the right to reinstate the requirement to vaccinate at any point if it is of the view that it is imperative to do so.

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