Analytics-Driven Data Engineer for Business Insights

Together Staffing group; Sandton; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Together Staffing is recruiting a technically strong Data Engineer who enjoys going beyond traditional ETL to transform complex datasets into business insights. You will combine data engineering fundamentals with practical analytics to enable informed decisions across internal teams.

The role emphasizes Python (pandas, NumPy), data quality, and collaboration with stakeholders to deliver value from analytics projects in a fast-paced environment.

Qualifications

• Minimum 4 years’ relevant experience.
• Strong Python programming skills with pandas and NumPy.
• Experience working directly with analytical datasets.
• Understanding of data engineering concepts and data management practices.
• Strong communication and stakeholder management skills.
• Ability to think critically and solve complex business problems using data.

Responsibilities

• Conduct exploratory data analysis and validate data quality.
• Analyse complex datasets using Python and modern analytical techniques.
• Support business reporting and insight-driven projects.
• Interpret business requirements and provide meaningful analytical outputs.
• Work with imperfect datasets to identify trends and solve business challenges.
• Ensure reliable data practices through sound engineering principles.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Python programming

Data analysis

Stakeholder management

Problem solving

Communication

Analytical thinking

Tools

pandas

NumPy

SQL

Job description

Together Staffing is recruiting a technically strong Data Engineer who enjoys going beyond traditional ETL to transform complex datasets into business insights. You will combine data engineering fundamentals with practical analytics to enable informed decisions across internal teams.

The role emphasizes Python (pandas, NumPy), data quality, and collaboration with stakeholders to deliver value from analytics projects in a fast-paced environment.