Analytics Engineer I
Shoprite Group
Verified
Cape Town
I
Western Cape, ZA
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Tech
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Entry Level
Office
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Analytics Engineer I
Shoprite Group
Verified
Cape Town
I
Western Cape, ZA
Copy Job Reference
Copied
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Office
Market-related
Back
Analytics Engineer I
Shoprite Group
I
Western Cape, ZA
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Office
Market-related
Copy Job Reference
Copied
Back
Analytics Engineer I
Shoprite Group
Cape Town
I
Western Cape, ZA
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Office
Market-related
Job Reference
Copied
Back
1
Position Overview
The Analytics Engineer I role is designed for an emerging data engineering professional eager to build a strong foundation in analytics engineering within a large, data-driven organisation. This role supports the analytics engineering team by helping design, build, and maintain high-quality data products that enable reliable, scalable, and insight-driven decision-making across the business.
Working under the guidance of senior analytics engineers, you will contribute to developing robust data pipelines, transforming raw data into structured models, and supporting analytics, data science, and machine learning use cases. This role is ideal for candidates who are passionate about data engineering and motivated to grow their technical and analytical skills while delivering real business value.
1
Position Overview
The Analytics Engineer I role is designed for an emerging data engineering professional eager to build a strong foundation in analytics engineering within a large, data-driven organisation. This role supports the analytics engineering team by helping design, build, and maintain high-quality data products that enable reliable, scalable, and insight-driven decision-making across the business.
Working under the guidance of senior analytics engineers, you will contribute to developing robust data pipelines, transforming raw data into structured models, and supporting analytics, data science, and machine learning use cases. This role is ideal for candidates who are passionate about data engineering and motivated to grow their technical and analytical skills while delivering real business value.
1
Position Overview
The Analytics Engineer I role is designed for an emerging data engineering professional eager to build a strong foundation in analytics engineering within a large, data-driven organisation. This role supports the analytics engineering team by helping design, build, and maintain high-quality data products that enable reliable, scalable, and insight-driven decision-making across the business.
Working under the guidance of senior analytics engineers, you will contribute to developing robust data pipelines, transforming raw data into structured models, and supporting analytics, data science, and machine learning use cases. This role is ideal for candidates who are passionate about data engineering and motivated to grow their technical and analytical skills while delivering real business value.
1
Position Overview
The Analytics Engineer I role is designed for an emerging data engineering professional eager to build a strong foundation in analytics engineering within a large, data-driven organisation. This role supports the analytics engineering team by helping design, build, and maintain high-quality data products that enable reliable, scalable, and insight-driven decision-making across the business.
Working under the guidance of senior analytics engineers, you will contribute to developing robust data pipelines, transforming raw data into structured models, and supporting analytics, data science, and machine learning use cases. This role is ideal for candidates who are passionate about data engineering and motivated to grow their technical and analytical skills while delivering real business value.
2
Who Should Apply
This opportunity is best suited for graduates or early-career professionals with a background in computer science, engineering, mathematics, or related fields, who are looking to gain hands-on experience in a production analytics environment.
2
Who Should Apply
This opportunity is best suited for graduates or early-career professionals with a background in computer science, engineering, mathematics, or related fields, who are looking to gain hands-on experience in a production analytics environment.
2
Who Should Apply
This opportunity is best suited for graduates or early-career professionals with a background in computer science, engineering, mathematics, or related fields, who are looking to gain hands-on experience in a production analytics environment.
2
Who Should Apply
This opportunity is best suited for graduates or early-career professionals with a background in computer science, engineering, mathematics, or related fields, who are looking to gain hands-on experience in a production analytics environment.
3
Areas of Exposure
You will gain exposure to:
Building and maintaining data and feature marts
Transforming and modelling data for analytics consumption
Supporting production-ready data pipelines
Monitoring, testing, and automating data artefacts
Data quality improvement and documentation standards
Collaboration with analysts, data scientists, and engineers
Applying software engineering best practices in data workflows
3
Areas of Exposure
You will gain exposure to:
Building and maintaining data and feature marts
Transforming and modelling data for analytics consumption
Supporting production-ready data pipelines
Monitoring, testing, and automating data artefacts
Data quality improvement and documentation standards
Collaboration with analysts, data scientists, and engineers
Applying software engineering best practices in data workflows
3
Areas of Exposure
You will gain exposure to:
Building and maintaining data and feature marts
Transforming and modelling data for analytics consumption
Supporting production-ready data pipelines
Monitoring, testing, and automating data artefacts
Data quality improvement and documentation standards
Collaboration with analysts, data scientists, and engineers
Applying software engineering best practices in data workflows
3
Areas of Exposure
You will gain exposure to:
Building and maintaining data and feature marts
Transforming and modelling data for analytics consumption
Supporting production-ready data pipelines
Monitoring, testing, and automating data artefacts
Data quality improvement and documentation standards
Collaboration with analysts, data scientists, and engineers
Applying software engineering best practices in data workflows
4
What You’ll Gain
Practical experience in analytics engineering and data modelling
Exposure to scalable, enterprise-level data systems
Hands-on involvement in real-world, high-impact data projects
Mentorship from experienced analytics engineers
A strong foundation for career growth in data engineering and analytics
4
What You’ll Gain
Practical experience in analytics engineering and data modelling
Exposure to scalable, enterprise-level data systems
Hands-on involvement in real-world, high-impact data projects
Mentorship from experienced analytics engineers
A strong foundation for career growth in data engineering and analytics
4
What You’ll Gain
Practical experience in analytics engineering and data modelling
Exposure to scalable, enterprise-level data systems
Hands-on involvement in real-world, high-impact data projects
Mentorship from experienced analytics engineers
A strong foundation for career growth in data engineering and analytics
4
What You’ll Gain
Practical experience in analytics engineering and data modelling
Exposure to scalable, enterprise-level data systems
Hands-on involvement in real-world, high-impact data projects
Mentorship from experienced analytics engineers
A strong foundation for career growth in data engineering and analytics
5
Requirements & Documents
Minimum Requirements:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field
At least 1 year of experience working within a data team
Basic working knowledge of SQL
Advantageous Skills:
Exposure to large datasets and business data models
Familiarity with Python, PySpark, or AWS cloud environments
Understanding of version control and software engineering best practices
5
Requirements & Documents
Minimum Requirements:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field
At least 1 year of experience working within a data team
Basic working knowledge of SQL
Advantageous Skills:
Exposure to large datasets and business data models
Familiarity with Python, PySpark, or AWS cloud environments
Understanding of version control and software engineering best practices
5
Requirements & Documents
Minimum Requirements:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field
At least 1 year of experience working within a data team
Basic working knowledge of SQL
Advantageous Skills:
Exposure to large datasets and business data models
Familiarity with Python, PySpark, or AWS cloud environments
Understanding of version control and software engineering best practices
5
Requirements & Documents
Minimum Requirements:
Degree or Diploma in Computer Science, Engineering, Mathematics, or a related field
At least 1 year of experience working within a data team
Basic working knowledge of SQL
Advantageous Skills:
Exposure to large datasets and business data models
Familiarity with Python, PySpark, or AWS cloud environments
Understanding of version control and software engineering best practices
6
How to Apply
Click (Apply For Job) button we'll take you through official Shoprite Group online recruitment platform to complete application form.
Applications must be submitted through the employer’s official online recruitment platform.
Ensure all information provided is accurate and up to date.
6
How to Apply
Click (Apply For Job) button we'll take you through official Shoprite Group online recruitment platform to complete application form.
Applications must be submitted through the employer’s official online recruitment platform.
Ensure all information provided is accurate and up to date.
6
How to Apply
Click (Apply For Job) button we'll take you through official Shoprite Group online recruitment platform to complete application form.
Applications must be submitted through the employer’s official online recruitment platform.
Ensure all information provided is accurate and up to date.
6
How to Apply
Click (Apply For Job) button we'll take you through official Shoprite Group online recruitment platform to complete application form.
Applications must be submitted through the employer’s official online recruitment platform.
Ensure all information provided is accurate and up to date.
7
Application Tips
Do:
Tailor your CV to highlight data engineering exposure
Clearly list technical tools and skills
Submit all required information before the closing date
Avoid:
Submitting incomplete applications
Providing incorrect or misleading information
7
Application Tips
Do:
Tailor your CV to highlight data engineering exposure
Clearly list technical tools and skills
Submit all required information before the closing date
Avoid:
Submitting incomplete applications
Providing incorrect or misleading information
7
Application Tips
Do:
Tailor your CV to highlight data engineering exposure
Clearly list technical tools and skills
Submit all required information before the closing date
Avoid:
Submitting incomplete applications
Providing incorrect or misleading information
7
Application Tips
Do:
Tailor your CV to highlight data engineering exposure
Clearly list technical tools and skills
Submit all required information before the closing date
Avoid:
Submitting incomplete applications
Providing incorrect or misleading information
8
Important Notes
Only shortlisted candidates will be contacted
Late applications may not be considered
8
Important Notes
Only shortlisted candidates will be contacted
Late applications may not be considered
8
Important Notes
Only shortlisted candidates will be contacted
Late applications may not be considered
8
Important Notes
Only shortlisted candidates will be contacted
Late applications may not be considered
9
Quick Eligibility Check
✔ Relevant qualification
✔ Entry-level data experience
✔ Interest in analytics engineering
✔ Willingness to work onsite
9
Quick Eligibility Check
✔ Relevant qualification
✔ Entry-level data experience
✔ Interest in analytics engineering
✔ Willingness to work onsite
9
Quick Eligibility Check
✔ Relevant qualification
✔ Entry-level data experience
✔ Interest in analytics engineering
✔ Willingness to work onsite
9
Quick Eligibility Check
✔ Relevant qualification
✔ Entry-level data experience
✔ Interest in analytics engineering
✔ Willingness to work onsite
10
Disclaimer
This job post is shared for informational purposes only. The employer reserves the right to amend or withdraw the vacancy at any time.
10
Disclaimer
This job post is shared for informational purposes only. The employer reserves the right to amend or withdraw the vacancy at any time.
10
Disclaimer
This job post is shared for informational purposes only. The employer reserves the right to amend or withdraw the vacancy at any time.
10
Disclaimer
This job post is shared for informational purposes only. The employer reserves the right to amend or withdraw the vacancy at any time.
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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.
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Legal
© 2026
Spanisam. All rights reserved.