Data Engineer
- Location
- Johannesburg, Gauteng
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
In brief
**Overview** This role is for a Data Engineer at Pepkor Lifestyle, a discount retailer that supplies electronic goods, appliances, and related accessories to consumers in the mass middle market of Southern Africa at the lowest prices. The Data Engineer will play a critical role in developing and maintaining the company's data infrastructure, working with cross-functional teams to ensure data availability, quality, and accessibility for analysis. The position aims to leverage big data and analytics to provide insights across various business topics. **What you will do** * Provide business insights using big data and analytics, conducting both recurring and ad hoc analysis for business users. * Play a critical role in the development and maintenance of the data infrastructure. * Work closely with cross-functional teams to ensure data availability, quality, and accessibility for analysis. * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. * Design, develop, and maintain data pipelines and ETL processes. * Implement and maintain data warehousing and data storage solutions. * Optimize data pipelines for performance, scalability, and reliability. * Ensure data quality and integrity through data validation and cleansing processes. * Monitor and troubleshoot data infrastructure issues. * Stay current with emerging technologies and best practices in data engineering. * Systematic solution design of the ETL and data pipeline inline with business user specifications. * Develop and implement ETL pipelines aligned to the approved solution design. * Ensure data governance and data quality assurance standards are upheld. * Deal with customers in a customer-centric manner. * Practice effective self-management and teamwork. **Requirements (from the original advert)** * **Job Type:** Full Time * **Qualification:** Bachelor's degree in Computer Science, Information Technology, or a related field; Professional Certificate. * **Experience:** 5 - 10 years, including: * Proven experience as a Data Engineer in a professional setting. * 5-10 years’ experience and understanding in designing and developing data warehouses according to the Kimball methodology. * Experience within Retail, Financial Services and Logistics environments. * **Skills & Knowledge:** * Proficiency in data engineering technologies and programming languages (e.g., SQL, Python, Scala, Java). * Strong knowledge of data storage, database design, and data modelling concepts. * Experience with ETL tools, data integration, and data pipeline orchestration. * Familiarity with data warehousing solutions (e.g., Snowflake, Redshift). * Excellent problem-solving and troubleshooting skills. * Strong communication and collaboration skills. * Adept at design and development of ETL processes. * SQL development experience, preferably SAS data studio and AWS experience. * Ability to ingest/output CSV, JSON and other flat file types and any related data sources. * Proficient in Python or R or willingness to learn. * Redshift Technologies. * Understanding of data security and compliance best practices. * **Certifications:** Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer). * **Location of role:** Gauteng, Johannesburg. **Who should apply** The ideal candidate is passionate about big data and analytics and aims to provide insights to the business across various topics. They should be someone who can play a critical role in data infrastructure development and maintenance, capable of working collaboratively with cross-functional teams. **Deadline** 23 October 2026 **Reference** Original posting: https://www.myjobmag.co.za/job/data-engineer-pepkor-lifestyle Source: myjobmag
Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.
At a glance
- At least 5 years of experience.
- Python
- Java
- SQL
- AWS
- Google Cloud
Extracted automatically from the advert; confirm requirements on the original listing.
Job description
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