Overview

Analytics Engineer Jobs in Kuils River at TRADEON

Overall Purpose of the Position:

To design, build, and maintain TradeOn’s core data pipelines and data models, integrating key operational systems into a reliable, automated data layer that enables accurate reporting, insights and decision‑making across the business. This role is hands‑on and execution‑focused, responsible for turning fragmented data into a single, trusted source of truth.

Key Performance Areas (KPAs) & Responsibilities include, but not limited to:

Data Integration & Pipelines

  • Building and maintaining automated data pipelines from:

o POS (GAAP)

o Finance & Payroll (Sage Evolution)

o Banking and other operational systems

  • Designing reliable ingestion processes (batch or near real time where appropriate)
  • Reducing manual data handling and spreadsheet based processes

Data Modelling & Architecture

  • Designing a clean, scalable data model suitable for reporting and analytics
  • Establishing a central data layer that supports Power BI and future analytics
  • Ensuring data accuracy, consistency, and traceability across systems

Reporting Enablement

  • Enabling Power BI by providing:

o Well structured datasets

o Documented metrics

o Consistent definitions

  • Partner with Finance, Ops, and HR to ensure data reflects business reality

Automation & Reliability

  • Automating recurring data refreshes and reconciliations
  • Implementing monitoring and basic data quality checks
  • Proactively identifying and resolving data issues before they reach user

Data Governance

  • Defining data standards, naming conventions, and ownership
  • Ensuring responsible handling of sensitive information (POPIA‑aware)
  • Documenting pipelines and models for continuity

Ideal Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Engineering or related field
  • 4–8 years in a hands‑on data engineering or analytics engineering role
  • Has personally built, maintained, and repaired production data pipelines in environments with inconsistent and unreliable source systems
  • Strong SQL skills including designing, transforming and optimizing production-grade queries
  • Proven experience integrating multiple operational systems into a central data layer (e.g. POS, finance, payroll, ERP or similar)experience working with messy, real‑world operational data
  • Handson experience using cloud data platforms to design and run ETL pipelines
  • Experience enabling BI and reporting tools (Power BI preferred) by delivering well-structured, analytics-ready datasets

Key Personal Inherent Characteristics

  • Builder mindset — enjoys creating from imperfect starting points
  • Comfortable working independently and prioritising pragmatically
  • Strong problem‑solving and diagnostic ability
  • Able to translate business questions into data structures
  • Resilient in ambiguous environments

Join Our Team at TradeOn!

Location: Kuilsriver, Cape Town

Contract Type: Permanent

Application Deadline: 22 June 2026

Please include the job title in your application and your CV:

If you do not receive feedback within one month of your application, please consider your application unsuccessful.

TradeOn reserves the right to withdraw this advertisement or not fill the vacancy at any stage of the recruitment process.

We are committed to achieving our employment equity goals, which will be considered throughout the recruitment process.

By submitting your application, you consent to TradeOn processing your personal information for recruitment purposes. This includes consideration for the advertised role and other suitable opportunities within the organisation. TradeOn complies with the Protection of Personal Information Act (POPIA), and your information will be used solely for lawful and legitimate recruitment activities.

Application Question(s):

  • Do you have 4–8 years’ hands-on experience in a data engineering role?
  • How would you rate your SQL skills? Beginner, Intermediate or Advanced? including designing, transforming and optimizing production-grade queries.
  • Do you have hands-on experience using cloud data platforms to design and run ETL pipelines?
  • Have you personally built, maintained, and repaired production data pipelines? Please elaborate.
  • Do you have experience enabling BI and reporting tools by delivering well-structured, analytics-ready datasets?
  • What is your notice period?
  • What is your current gross salary?
  • What are your gross salary expectations before deductions?

Work Location: In person

Title: Analytics Engineer

Company: TRADEON

Location: Kuils River

 

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