Overview
Junior Data Engineer Jobs in Pinelands, Western Cape, South Africa at Old Mutual South Africa
Title: Junior Data Engineer
Company: Old Mutual South Africa
Location: Pinelands, Western Cape, South Africa
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Job Description
This team’s primary focus is to build and establish the Data Warehouse 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 in the cloud.
To complement the existing cross-functional team, Old Mutual is looking for a Data Engineer who will assist in designing and also implementing scalable and robust processes to support the data engineering capability.
Job Overview :
This role will be responsible for implementing and supporting large-scale data ecosystems primarily supporting the Mass Foundation Cluster Business Unit. 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.
Job Description
- Assist in designing and implementing scalable and robust processes for ingesting and transforming complex datasets.
- Design, develop and maintain scalable data warehouse solutions based on the Kimball Methodology using Microsoft SQL Server, SSIS, SSRS, SSAS and PowerBI.
- 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.
- 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.
- Provide standby duties when required
Minimum Requirements
MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)
- Matric, with a degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering.
- 2+ years of data engineering experience
- 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 ,SSRS SSAS or something similar (2) ETL Frameworks, (3) Spark (4) AWS data builds, (5) Databricks
- Should at least have proven experience in SQL and SSIS. Experience in SSAS and SSRS would be advantageous
- Experience with designing and implementing Cloud (AWS) solutions
- 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.
- Some experience with Dev/OPS architecture, implementation and operation would be advantageous.
- Some experience in applying SAFe/Scrum/Kanban methodologies would be advantageous
- Some experience with PowerBI and Databricks would be advantageous
ADDITIONAL QUALIFICATIONS/EXPERIENCE (PREFERRED, NOT A REQUIREMENT)
Business Analysis.
Project Management.
Skills
Action Planning, Application Development, Cloud Computing, Cloud Infrastructure Management, Computer Network Security, Current State Assessment, Database Queries, Data Classification, Data Compilation, Data Compression, Data Modeling, Data Recovery, IT Architecture, IT Network Security, Test Case Management
Competencies
Action Oriented
Communicates Effectively
Cultivates Innovation
Ensures Accountability
Manages Complexity
Optimizes Work Processes
Plans and Aligns
Tech Savvy
Education
NQF Level 7 – Degree, Advance Diploma or Postgraduate Certificate or equivalent
Closing Date
19 March 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.
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