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Intermediate Data Engineer

Job in Umhlanga, KwaZulu-Natal, South Africa
Listing for: Ignition Group
Full Time position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Security, Data Science Manager
Job Description & How to Apply Below
Location: Umhlanga

Data Pipeline Development and Optimisation

  • Build, maintain, and optimise robust, production-grade data pipelines using Snowflake and modern orchestration tools.
  • Implement data transformations, ingestion, and integration across multiple sources (CRM, WFM, Telephony, Digital).
  • Builds production-grade pipelines with orchestration
  • Apply Snowflake best practices for warehouse design, schema structuring, and performance tuning.

Automation and Orchestration

  • Integrate Cortex Agents or similar automation tools to streamline data workflows.
  • Implement and maintain ETL/ELT orchestration using tools such as Airflow or dbt.
  • Implements automated workflows and test.
  • Implements data tests and monitoring
  • Automate repeatable processes to enhance reliability and scalability.

Data Quality, Lineage, and Governance

  • Apply data quality checks, lineage tracing, and validation rules to ensure data accuracy and consistency.
  • Document data processes, pipelines, and source-to-target mappings for transparency and maintenance.
  • Implements RBAC and lineage documentation.
  • Support adherence to organisational data governance and compliance standards.

Data Modelling and Analytics Enablement

  • Design and maintain analytical data models and structures for business reporting and dashboards.
  • Work closely with analysts and business partners to translate KPIs into well-defined data structures.
  • Ensure data is structured to support contact centre KPIs such as AHT, FCR, NPS, occupancy, and SLA.

Collaboration and Technical Contribution

  • Collaborate cross-functionally with Senior Data Engineers and Data Architects to improve performance and reliability.
  • Participate in peer reviews, design sessions, and technical documentation activities.
  • Contribute to continuous improvement initiatives and knowledge sharing across the team.

Continuous Learning

  • Stay current with advancements in data engineering, automation, and cloud-based data technologies.
  • Proactively learn and apply new frameworks and performance optimisation techniques.
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