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Humankind Group

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Data Engineer

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Summary

Data Engineer in Cape Town designing, building and maintaining scalable ETL/ELT pipelines and integrations across ERP, finance, CRM and logistics systems, with data-quality automation, data modelling and production support. Core stack is SQL, Python, data warehousing and REST APIs; Microsoft Fabric/Foundry exposure is a plus.

ð Western Cape

Are you a hands-on Data Engineer passionate about building reliable data pipelines, integrating complex systems, and enabling data-driven decision-making?

Our client is seeking an experienced Data Engineer to strengthen its data capabilities and support ongoing business transformation within a dynamic, multi-functional environment.

The Role
Youll be responsible for designing, developing and maintaining scalable data pipelines and integrations, ensuring that accurate, reliable and well-governed data is accessible across the business. Working closely with architecture, analytics, IT and business stakeholders, youll help automate processes, improve data quality and build a trusted foundation for reporting, analytics and AI-enabled solutions.

Key Responsibilities
  • Design, build and maintain ETL/ELT data pipelines.
  • Develop integrations across ERP, finance, CRM, logistics, supply chain and other business systems.
  • Build automated data-quality checks and improve data integrity.
  • Develop and maintain data models and analysis-ready datasets.
  • Design and support REST API and secure file-based integrations.
  • Monitor production pipelines, troubleshoot failures and optimise performance.
  • Contribute to data governance, metadata management and master data management.
  • Support systems implementations, data migrations and business transformation initiatives.
  • Leverage AI-assisted development tools to improve engineering productivity and data quality within established governance controls.
What Were Looking For
  • A relevant tertiary qualification in Computer Science, Information Systems, IT, Software Engineering or a related field.
  • Approximately 57 years relevant experience in data engineering, database development or systems integration.
  • Strong SQL and relational database skills.
  • Proven experience developing data solutions using Python.
  • Practical experience with ETL/ELT, data modelling and data warehousing.
  • Experience building and supporting REST API integrations and secure file transfers.
  • Familiarity with Git, deployment practices, monitoring and production support.
  • Strong analytical, problem-solving and stakeholder collaboration skills.
Advantageous Experience
Exposure to Microsoft Fabric, Microsoft Foundry, cloud data platforms, event-driven integrations, middleware solutions, master data management and AI-enabled data capabilities would be beneficial.

Interested?
If youre ready to build scalable data solutions and make a meaningful impact through better data integration and automation, wed love to hear from you.

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#Hiring #DataEngineer #DataEngineering #Python #SQL #DataIntegration #ETL #TechnologyJobs

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