Description:
Data Engineer vacancy in Belville, Cape Town.Must have a Bachelorâs degree in an Engineering, Programming, or Data Science field and at least 3 years of relevant work experience in Data Engineering, Development or related fields. Â Experience working with GCP (Google Cloud Platform), SQL and Google BigQuery. Data EngineerBellville, Cape Town
Requirements:
- Bachelorâs degree in an Engineering, Programming, Data Science or similar discipline.
- At least 3 years of relevant work experience in Data Engineering, Development or related fields.
- Work with multiple datasets and write SQL queries.
- Experience working with GCP (Google Cloud Platform), SQL and Google BigQuery.
- Experience with Python, R, Matlab, Power BI, Tableau (advantageous)
- SQL development - write efficient SQL queries to solve problems and add technical features given business logic requirements from the Product Owner.
- Update and maintain existing reporting platforms and tools.
- Find data quality issues, trends, actionable insights and project opportunities within the data.
- Develop and implement automated reporting solutions to reduce manual effort and improve accuracy.
- Data flows - evaluate, optimise, and implement improvements to data flow architecture to ensure efficiency, scalability, and reliability.
- Identify and resolve bottlenecks or inefficiencies in data pipelines.
ONLY SA CITIZENS MAY APPLY
Requirements:
- Bachelorâs degree in an Engineering, Programming, Data Science or similar discipline.
- At least 3 years of relevant work experience in Data Engineering, Development or related fields.
- Work with multiple datasets and write SQL queries.
- Experience working with GCP (Google Cloud Platform), SQL and Google BigQuery.
- Experience with Python, R, Matlab, Power BI, Tableau (advantageous)
- SQL development - write efficient SQL queries to solve problems and add technical features given business logic requirements from the Product Owner.
- Update and maintain existing reporting platforms and tools.
- Find data quality issues, trends, actionable insights and project opportunities within the data.
- Develop and implement automated reporting solutions to reduce manual effort and improve accuracy.
- Data flows - evaluate, optimise, and implement improvements to data flow architecture to ensure efficiency, scalability, and reliability.
- Identify and resolve bottlenecks or inefficiencies in data pipelines.
27 Nov 2025;
from:
careers24.com