Analytics Engineer I

Shoprite-Logo-Design

Shoprite Group

Verified

Cape Town

I

Western Cape, ZA

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Analytics Engineer I

Shoprite-Logo-Design

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-Logo-Design

Shoprite Group

Cape Town

I

Western Cape, ZA

Posted Date:

Closing Date:

Tech

Permanent

Entry Level

Office

Market-related

Copy Job Reference

Copied

Back

Analytics Engineer I

Shoprite-Logo-Design

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.

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.

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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.

Report An Issue

The data on this page gets updated

Hello MzansiAugust 29, 202610:47:51

Report An Issue

The data on this page gets updated

Hello MzansiAugust 29, 202610:47:51
Shoprite-Logo-Design

Shoprite Group

Cape Town

Shoprite-Logo-Design

Shoprite Group

Cape Town

Shoprite-Logo-Design

Shoprite Group

Cape Town

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