Where

Data Engineer

E&D Recruiters
Cape Town Full-day Full-time

Description:

Data Engineer vacancy in Bellville, Cape Town. BEng/BSc Engineering. Proven experience in data flow optimisation and automation. Data Engineer

Bellville, Cape Town

Responsibilities:
  • Bachelor’s degree in engineering
  • Proven experience in data flow optimisation and automation
  • Proficiency in tools and technologies such as SQL, Python, and Power BI
  • Familiarity with cloud-based data solutions such as GCP, Azure
Key Responsibilities:
  • Evaluate, optimise, and implement improvements to data flow architecture to ensure efficiency, scalability, and reliability.
  • Identify and resolve bottlenecks or inefficiencies in data pipelines.
  • Collaborate with teams to streamline data collection, integration, and transformation processes.
  • Develop and implement automated reporting solutions to reduce manual effort and improve accuracy.
  • Optimise existing workflows to enable automated, scalable reporting.
  • Ensure automated reports are aligned with business needs and are easily accessible to stakeholders.
  • Interpret large datasets to identify trends, anomalies, and actionable insights.
  • Provide recommendations based on data analysis to support business decisions.

Apply via www.edrecruiters.co.za or submit your CV to cv@edrecruiters.co.za (#3953)
ONLY SOUTH AFRICAN CITIZENS WILL BE CONSIDERED FOR THE POSITION.

Requirements:

  • Bachelor’s degree in engineering
  • Proven experience in data flow optimisation and automation
  • Proficiency in tools and technologies such as SQL, Python, and Power BI
  • Familiarity with cloud-based data solutions such as GCP, Azure
  • Evaluate, optimise, and implement improvements to data flow architecture to ensure efficiency, scalability, and reliability.
  • Identify and resolve bottlenecks or inefficiencies in data pipelines.
  • Collaborate with teams to streamline data collection, integration, and transformation processes.
  • Develop and implement automated reporting solutions to reduce manual effort and improve accuracy.
  • Optimise existing workflows to enable automated, scalable reporting.
  • Ensure automated reports are aligned with business needs and are easily accessible to stakeholders.
  • Interpret large datasets to identify trends, anomalies, and actionable insights.
  • Provide recommendations based on data analysis to support business decisions.
10 Feb 2026;   from: careers24.com

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