Senior Data Engineer

MultiChoice; Randburg; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading media company in Gauteng, Randburg, is seeking a Senior Data Engineer to assist in designing data models and ETL processes while collaborating with teams to enable data-driven decision making. Candidates should have a Bachelor’s degree in Computer Science or a related field, along with a minimum of 5 years of experience in data engineering. Proficiency in SQL and experience with data visualization tools are highly advantageous. The position involves developing dashboards and maintaining data quality for effective analysis.

Qualifications

• A Bachelor’s Degree in Computer Science, Information Technology or Equivalent Qualification.
• Minimum 5 years exposure to Human Capital Processes and Tools.
• Minimum 3 years’ experience as a Data Engineer.

Responsibilities

• Assist in designing and developing data models and ETL processes.
• Work with teams to identify data requirements and drive solutions.
• Develop and maintain dashboards and reports to provide insights.

Skills

Data Modeling

ETL Processes

SQL

Data Analysis

Data Visualization

Cloud Technologies

Education

Bachelor’s Degree in Computer Science or Information Technology

Technology Certifications in Databricks, Azure, Data Engineering

Tools

Power BI

Tableau

SQL Server Reporting Services (SSRS)

Databricks

Azure

Job description

Job title : Senior Data Engineer

Job Location : Gauteng, Randburg Deadline : August 16, 2025

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Key Performance Objectives

Compliance

• Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards.
• Operate within project environments and participate in CII continuous improvement efforts.

Operational Delivery

• Assist in designing and developing data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis.
• Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision making.
• Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends.
• Design and implement data quality and data validation processes to ensure accuracy and consistency of data.
• Develop and maintain documentation for data models, data lineage, and data flow.

Technical Competency

• Be accountable for solutions, their sustainability and accuracy as well as dates against their deliverables.
• Share knowledge and practical experience with the community.
• Implement best practice Data warehousing development based on methodology adopted for solution by Architecture.

Qualifications :

• A Bachelor’s Degree in Computer Science, Information Technology or Equivalent Qualification.
• Technology Certifications in Databricks, Azure, Data Engineering and other technologies highly advantageous.

Experience

• Minimum 5 years exposure to Human Capital Processes and Tools.
• Minimum 3 years’ experience as a Data Engineer.
• Solid understanding of Master Data, Data Quality.
• Proficiency in SQL and other programming languages commonly used in data engineering.
• Experience with data visualization tools such as Paginated reports (SSRS), Power BI, Tableau or QlikView.
• Experience in developing solutions in cloud technologies including but not limited to Azure, Databricks, SQL and Data Lake.
• Experience in Dimensional Modeling.
• Research / Data Analysis jobs.