Data Engineer I
Shoprite Group
Verified
Cape Town
I
Western Cape, ZA
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Data Engineer I
Shoprite Group
Verified
Cape Town
I
Western Cape, ZA
Featured
Copy Job Reference
Copied
Posted Date:
Closing Date:
Tech
Permanent
Mid Level
On-Site
Market Related
Back
Data Engineer I
Shoprite Group
I
Western Cape, ZA
Posted Date:
Closing Date:
Tech
Permanent
Mid Level
On-Site
Market Related
Copy Job Reference
Copied
Back
Data Engineer I
Shoprite Group
Cape Town
I
Western Cape, ZA
Posted Date:
Closing Date:
Tech
Permanent
Mid Level
On-Site
Market Related
Job Reference
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1
Position Overview
Shoprite Group of Companies is recruiting 1 Data Engineer I within the Information Technology Department based in Brackenfell, Cape Town, Western Cape. This is a mid-level permanent opportunity designed for IT professionals with experience in data engineering, cloud technologies, data pipelines, and business intelligence solutions.
The role offers a market-related remuneration package, depending on qualifications and experience, providing an excellent opportunity to build scalable cloud-based data solutions while supporting one of South Africa's largest retail organisations.
1
Position Overview
Shoprite Group of Companies is recruiting 1 Data Engineer I within the Information Technology Department based in Brackenfell, Cape Town, Western Cape. This is a mid-level permanent opportunity designed for IT professionals with experience in data engineering, cloud technologies, data pipelines, and business intelligence solutions.
The role offers a market-related remuneration package, depending on qualifications and experience, providing an excellent opportunity to build scalable cloud-based data solutions while supporting one of South Africa's largest retail organisations.
1
Position Overview
Shoprite Group of Companies is recruiting 1 Data Engineer I within the Information Technology Department based in Brackenfell, Cape Town, Western Cape. This is a mid-level permanent opportunity designed for IT professionals with experience in data engineering, cloud technologies, data pipelines, and business intelligence solutions.
The role offers a market-related remuneration package, depending on qualifications and experience, providing an excellent opportunity to build scalable cloud-based data solutions while supporting one of South Africa's largest retail organisations.
1
Position Overview
Shoprite Group of Companies is recruiting 1 Data Engineer I within the Information Technology Department based in Brackenfell, Cape Town, Western Cape. This is a mid-level permanent opportunity designed for IT professionals with experience in data engineering, cloud technologies, data pipelines, and business intelligence solutions.
The role offers a market-related remuneration package, depending on qualifications and experience, providing an excellent opportunity to build scalable cloud-based data solutions while supporting one of South Africa's largest retail organisations.
2
Minimum Requirements
Applicants must have:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field (NQF Level 5–6)
Minimum 2–4 years' relevant experience within a data engineering or data team
Experience building and optimising data pipelines
Knowledge of data engineering concepts, databases and data modelling
Proficiency in Python
Experience with PySpark
Strong SQL skills
Experience with dbt (Data Build Tool)
Experience using Git for version control
Knowledge of ETL pipeline development
Experience with Apache Airflow or similar orchestration tools
Understanding of data quality frameworks
Good communication and teamwork skills
Strong analytical thinking and attention to detail
Advantageous:
AWS Certification
Experience with AWS EMR, S3, Glue and Athena
Snowflake experience
Apache Iceberg or Delta Lake knowledge
Terraform / Infrastructure as Code
Retail operations experience
NB: Applicants should have a strong passion for data engineering, cloud technologies and continuous learning while being able to perform effectively within agile delivery teams.
2
Minimum Requirements
Applicants must have:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field (NQF Level 5–6)
Minimum 2–4 years' relevant experience within a data engineering or data team
Experience building and optimising data pipelines
Knowledge of data engineering concepts, databases and data modelling
Proficiency in Python
Experience with PySpark
Strong SQL skills
Experience with dbt (Data Build Tool)
Experience using Git for version control
Knowledge of ETL pipeline development
Experience with Apache Airflow or similar orchestration tools
Understanding of data quality frameworks
Good communication and teamwork skills
Strong analytical thinking and attention to detail
Advantageous:
AWS Certification
Experience with AWS EMR, S3, Glue and Athena
Snowflake experience
Apache Iceberg or Delta Lake knowledge
Terraform / Infrastructure as Code
Retail operations experience
NB: Applicants should have a strong passion for data engineering, cloud technologies and continuous learning while being able to perform effectively within agile delivery teams.
2
Minimum Requirements
Applicants must have:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field (NQF Level 5–6)
Minimum 2–4 years' relevant experience within a data engineering or data team
Experience building and optimising data pipelines
Knowledge of data engineering concepts, databases and data modelling
Proficiency in Python
Experience with PySpark
Strong SQL skills
Experience with dbt (Data Build Tool)
Experience using Git for version control
Knowledge of ETL pipeline development
Experience with Apache Airflow or similar orchestration tools
Understanding of data quality frameworks
Good communication and teamwork skills
Strong analytical thinking and attention to detail
Advantageous:
AWS Certification
Experience with AWS EMR, S3, Glue and Athena
Snowflake experience
Apache Iceberg or Delta Lake knowledge
Terraform / Infrastructure as Code
Retail operations experience
NB: Applicants should have a strong passion for data engineering, cloud technologies and continuous learning while being able to perform effectively within agile delivery teams.
2
Minimum Requirements
Applicants must have:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field (NQF Level 5–6)
Minimum 2–4 years' relevant experience within a data engineering or data team
Experience building and optimising data pipelines
Knowledge of data engineering concepts, databases and data modelling
Proficiency in Python
Experience with PySpark
Strong SQL skills
Experience with dbt (Data Build Tool)
Experience using Git for version control
Knowledge of ETL pipeline development
Experience with Apache Airflow or similar orchestration tools
Understanding of data quality frameworks
Good communication and teamwork skills
Strong analytical thinking and attention to detail
Advantageous:
AWS Certification
Experience with AWS EMR, S3, Glue and Athena
Snowflake experience
Apache Iceberg or Delta Lake knowledge
Terraform / Infrastructure as Code
Retail operations experience
NB: Applicants should have a strong passion for data engineering, cloud technologies and continuous learning while being able to perform effectively within agile delivery teams.
3
Key Responsibilities
Applicants will be responsible for:
Developing and supporting cloud-based data pipelines
Creating data feeds between on-premises and cloud environments
Supporting production data feeds and resolving technical issues
Building data warehouse layers and data products using dbt
Processing and transforming data using Python and PySpark
Developing Big Data and Business Intelligence solutions
Writing and maintaining Airflow pipeline orchestration workflows
Using distributed computing technologies such as AWS EMR Serverless
Working with Apache Iceberg and Delta Lake table formats
Performing automated testing and deployment of data solutions
Managing source code using Git, pull requests and code reviews
Supporting data quality, governance and operational efficiency
Tip / NB: Demonstrate practical experience with cloud platforms, SQL optimisation, ETL development and Python projects on your CV or portfolio to strengthen your application.
3
Key Responsibilities
Applicants will be responsible for:
Developing and supporting cloud-based data pipelines
Creating data feeds between on-premises and cloud environments
Supporting production data feeds and resolving technical issues
Building data warehouse layers and data products using dbt
Processing and transforming data using Python and PySpark
Developing Big Data and Business Intelligence solutions
Writing and maintaining Airflow pipeline orchestration workflows
Using distributed computing technologies such as AWS EMR Serverless
Working with Apache Iceberg and Delta Lake table formats
Performing automated testing and deployment of data solutions
Managing source code using Git, pull requests and code reviews
Supporting data quality, governance and operational efficiency
Tip / NB: Demonstrate practical experience with cloud platforms, SQL optimisation, ETL development and Python projects on your CV or portfolio to strengthen your application.
3
Key Responsibilities
Applicants will be responsible for:
Developing and supporting cloud-based data pipelines
Creating data feeds between on-premises and cloud environments
Supporting production data feeds and resolving technical issues
Building data warehouse layers and data products using dbt
Processing and transforming data using Python and PySpark
Developing Big Data and Business Intelligence solutions
Writing and maintaining Airflow pipeline orchestration workflows
Using distributed computing technologies such as AWS EMR Serverless
Working with Apache Iceberg and Delta Lake table formats
Performing automated testing and deployment of data solutions
Managing source code using Git, pull requests and code reviews
Supporting data quality, governance and operational efficiency
Tip / NB: Demonstrate practical experience with cloud platforms, SQL optimisation, ETL development and Python projects on your CV or portfolio to strengthen your application.
3
Key Responsibilities
Applicants will be responsible for:
Developing and supporting cloud-based data pipelines
Creating data feeds between on-premises and cloud environments
Supporting production data feeds and resolving technical issues
Building data warehouse layers and data products using dbt
Processing and transforming data using Python and PySpark
Developing Big Data and Business Intelligence solutions
Writing and maintaining Airflow pipeline orchestration workflows
Using distributed computing technologies such as AWS EMR Serverless
Working with Apache Iceberg and Delta Lake table formats
Performing automated testing and deployment of data solutions
Managing source code using Git, pull requests and code reviews
Supporting data quality, governance and operational efficiency
Tip / NB: Demonstrate practical experience with cloud platforms, SQL optimisation, ETL development and Python projects on your CV or portfolio to strengthen your application.
4
What You Will Gain
Employees will benefit from:
Permanent employment with one of South Africa's leading retailers
Market-related salary package
Exposure to modern cloud data engineering technologies
Experience with large-scale enterprise data platforms
Career growth within advanced analytics and cloud engineering
Opportunities to work with experienced data engineering professionals
Exposure to agile software development practices
Tip: Highlight projects involving Python, SQL, cloud platforms, Airflow, dbt, AWS or data warehouse development, even if completed during previous employment or personal learning.
4
What You Will Gain
Employees will benefit from:
Permanent employment with one of South Africa's leading retailers
Market-related salary package
Exposure to modern cloud data engineering technologies
Experience with large-scale enterprise data platforms
Career growth within advanced analytics and cloud engineering
Opportunities to work with experienced data engineering professionals
Exposure to agile software development practices
Tip: Highlight projects involving Python, SQL, cloud platforms, Airflow, dbt, AWS or data warehouse development, even if completed during previous employment or personal learning.
4
What You Will Gain
Employees will benefit from:
Permanent employment with one of South Africa's leading retailers
Market-related salary package
Exposure to modern cloud data engineering technologies
Experience with large-scale enterprise data platforms
Career growth within advanced analytics and cloud engineering
Opportunities to work with experienced data engineering professionals
Exposure to agile software development practices
Tip: Highlight projects involving Python, SQL, cloud platforms, Airflow, dbt, AWS or data warehouse development, even if completed during previous employment or personal learning.
4
What You Will Gain
Employees will benefit from:
Permanent employment with one of South Africa's leading retailers
Market-related salary package
Exposure to modern cloud data engineering technologies
Experience with large-scale enterprise data platforms
Career growth within advanced analytics and cloud engineering
Opportunities to work with experienced data engineering professionals
Exposure to agile software development practices
Tip: Highlight projects involving Python, SQL, cloud platforms, Airflow, dbt, AWS or data warehouse development, even if completed during previous employment or personal learning.
5
Application Process
How to Apply
Submit:
Updated CV
Certified ID copy (if requested)
Qualification certificates
Supporting certifications (AWS or other technical certifications if applicable)
Ensure CV includes:
Complete employment history
Data engineering projects completed
Technical skills and programming languages
Cloud technologies used
Contactable references
Closing date:
10 August 2026Apply early — late applications may NOT be considered.
Click the
Apply Button— you will be redirected to the official Shoprite Careers application page.
Tip: Tailor your CV to include measurable achievements in SQL optimisation, ETL development, cloud data engineering and Python programming to improve your chances of being shortlisted.
5
Application Process
How to Apply
Submit:
Updated CV
Certified ID copy (if requested)
Qualification certificates
Supporting certifications (AWS or other technical certifications if applicable)
Ensure CV includes:
Complete employment history
Data engineering projects completed
Technical skills and programming languages
Cloud technologies used
Contactable references
Closing date:
10 August 2026Apply early — late applications may NOT be considered.
Click the
Apply Button— you will be redirected to the official Shoprite Careers application page.
Tip: Tailor your CV to include measurable achievements in SQL optimisation, ETL development, cloud data engineering and Python programming to improve your chances of being shortlisted.
5
Application Process
How to Apply
Submit:
Updated CV
Certified ID copy (if requested)
Qualification certificates
Supporting certifications (AWS or other technical certifications if applicable)
Ensure CV includes:
Complete employment history
Data engineering projects completed
Technical skills and programming languages
Cloud technologies used
Contactable references
Closing date:
10 August 2026Apply early — late applications may NOT be considered.
Click the
Apply Button— you will be redirected to the official Shoprite Careers application page.
Tip: Tailor your CV to include measurable achievements in SQL optimisation, ETL development, cloud data engineering and Python programming to improve your chances of being shortlisted.
5
Application Process
How to Apply
Submit:
Updated CV
Certified ID copy (if requested)
Qualification certificates
Supporting certifications (AWS or other technical certifications if applicable)
Ensure CV includes:
Complete employment history
Data engineering projects completed
Technical skills and programming languages
Cloud technologies used
Contactable references
Closing date:
10 August 2026Apply early — late applications may NOT be considered.
Click the
Apply Button— you will be redirected to the official Shoprite Careers application page.
Tip: Tailor your CV to include measurable achievements in SQL optimisation, ETL development, cloud data engineering and Python programming to improve your chances of being shortlisted.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A Degree or Diploma in Computer Science, Engineering, Mathematics or a related field (NQF Level 5–6) is required.
Who can apply?
Qualified South African candidates with relevant data engineering experience and the required technical skills may apply.
Is experience required?
Yes. Applicants need 2–4 years' experience in data engineering, data science support or data pipeline development.
How do I apply?
Click the Apply Button to be redirected to the official Shoprite Careers website and complete your application before 10 August 2026.
Is there career growth?
Yes. This role can lead to opportunities such as Data Engineer II, Senior Data Engineer, Cloud Data Engineer, Data Architect or Analytics Engineering positions.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A Degree or Diploma in Computer Science, Engineering, Mathematics or a related field (NQF Level 5–6) is required.
Who can apply?
Qualified South African candidates with relevant data engineering experience and the required technical skills may apply.
Is experience required?
Yes. Applicants need 2–4 years' experience in data engineering, data science support or data pipeline development.
How do I apply?
Click the Apply Button to be redirected to the official Shoprite Careers website and complete your application before 10 August 2026.
Is there career growth?
Yes. This role can lead to opportunities such as Data Engineer II, Senior Data Engineer, Cloud Data Engineer, Data Architect or Analytics Engineering positions.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A Degree or Diploma in Computer Science, Engineering, Mathematics or a related field (NQF Level 5–6) is required.
Who can apply?
Qualified South African candidates with relevant data engineering experience and the required technical skills may apply.
Is experience required?
Yes. Applicants need 2–4 years' experience in data engineering, data science support or data pipeline development.
How do I apply?
Click the Apply Button to be redirected to the official Shoprite Careers website and complete your application before 10 August 2026.
Is there career growth?
Yes. This role can lead to opportunities such as Data Engineer II, Senior Data Engineer, Cloud Data Engineer, Data Architect or Analytics Engineering positions.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A Degree or Diploma in Computer Science, Engineering, Mathematics or a related field (NQF Level 5–6) is required.
Who can apply?
Qualified South African candidates with relevant data engineering experience and the required technical skills may apply.
Is experience required?
Yes. Applicants need 2–4 years' experience in data engineering, data science support or data pipeline development.
How do I apply?
Click the Apply Button to be redirected to the official Shoprite Careers website and complete your application before 10 August 2026.
Is there career growth?
Yes. This role can lead to opportunities such as Data Engineer II, Senior Data Engineer, Cloud Data Engineer, Data Architect or Analytics Engineering positions.
7
Disclaimer
Important Note
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website before applying.
7
Disclaimer
Important Note
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website before applying.
7
Disclaimer
Important Note
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website before applying.
7
Disclaimer
Important Note
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify details via the official employer website before applying.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process.
Any request for payment should be reported to us immediately.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.
Spanisam does not charge job seekers any fees. If anyone asks you to pay to apply for a job, report it to us immediately.
Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.
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Spanisam. All rights reserved.
South Africa's leading job board connecting talented professionals with amazing opportunities across the country.
Navigation
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© 2026
Spanisam. All rights reserved.
South Africa's leading job board connecting talented professionals with amazing opportunities across the country.
Navigation
Legal
© 2026
Spanisam. All rights reserved.