Job role overview

  • Date posted

    October 9, 2026

  • Closing date

    November 8, 2026

  • Hiring location

    Gauteng Johannesburg

  • Qualification

    Bachelors

  • Experience

    4 years

Description

Role Overview:

  • As a Data Engineer, you will play a crucial role in ensuring the accuracy, completeness, and reliability of data transformation processes. You will work closely with colleagues to deliver validated, actionable outputs from complex datasets.

Key Responsibilities:

  • Understand and work with existing team data processes, tools, and frameworks.
  • Support data transformation from multiple input systems (e.g., DINO, local SQL databases) into concise, validated outputs for business teams.
  • Perform thorough validation and verification checks to ensure data accuracy and completeness.
  • Identify, document, and communicate data errors clearly and concisely.
  • Collaborate with the data team to implement and track solutions for data issues.

Technical Requirements & Expertise:

  • Strong proficiency in Microsoft SQL for data ingestion, transformation, and analysis.
  • Advanced skills in Microsoft Excel, including Power Query, Power Pivot, and Power BI.
  • Ability to organise, manipulate, and analyse large datasets.
  • Knowledge of life insurance products is advantageous.

Qualifications & Background:

  • Bachelor’s degree in Science, IT, Actuarial Science, Data Science, or a related discipline.
  • Minimum of four years’ relevant professional experience in data analysis, data management, or business intelligence.
  • Ability to work independently with strong attention to detail.
  • Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.
  • Ability to work under pressure and meet deadlines in a fast-paced environment.

How to Apply

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