Junior Data Engineer: Group Insights & Analytics
PPS InsCo
Verified
Johannesburg
I
Gauteng, ZA
Featured
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Hybrid
Market Related
Back
Junior Data Engineer: Group Insights & Analytics
PPS InsCo
Verified
Johannesburg
I
Gauteng, ZA
Featured
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Hybrid
Market Related
Back
Junior Data Engineer: Group Insights & Analytics
PPS InsCo
I
Gauteng, ZA
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Hybrid
Market Related
Back
Junior Data Engineer: Group Insights & Analytics
PPS InsCo
Johannesburg
I
Gauteng, ZA
Posted Date:
Closing Date:
Tech
Permanent
Entry Level
Hybrid
Market Related
Back
1
Position Overview
PPS InsCo is recruiting a Junior Data Engineer within the Actuarial Services & Risk Department based in Parktown North, Johannesburg. This is an entry-level permanent opportunity designed for graduates and early-career professionals looking to build a career in data engineering, analytics, cloud technologies, and business intelligence.
The role offers market-related remuneration and exposure to modern data platforms such as Microsoft Fabric, Azure Data Factory, Power BI, and cloud-based analytics solutions within the financial services industry.
1
Position Overview
PPS InsCo is recruiting a Junior Data Engineer within the Actuarial Services & Risk Department based in Parktown North, Johannesburg. This is an entry-level permanent opportunity designed for graduates and early-career professionals looking to build a career in data engineering, analytics, cloud technologies, and business intelligence.
The role offers market-related remuneration and exposure to modern data platforms such as Microsoft Fabric, Azure Data Factory, Power BI, and cloud-based analytics solutions within the financial services industry.
1
Position Overview
PPS InsCo is recruiting a Junior Data Engineer within the Actuarial Services & Risk Department based in Parktown North, Johannesburg. This is an entry-level permanent opportunity designed for graduates and early-career professionals looking to build a career in data engineering, analytics, cloud technologies, and business intelligence.
The role offers market-related remuneration and exposure to modern data platforms such as Microsoft Fabric, Azure Data Factory, Power BI, and cloud-based analytics solutions within the financial services industry.
1
Position Overview
PPS InsCo is recruiting a Junior Data Engineer within the Actuarial Services & Risk Department based in Parktown North, Johannesburg. This is an entry-level permanent opportunity designed for graduates and early-career professionals looking to build a career in data engineering, analytics, cloud technologies, and business intelligence.
The role offers market-related remuneration and exposure to modern data platforms such as Microsoft Fabric, Azure Data Factory, Power BI, and cloud-based analytics solutions within the financial services industry.
2
Minimum Requirements
Applicants must have:
BSc, BCom, BTech or equivalent qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field
Exposure to data engineering, data analytics, database work, internships, academic projects, or entry-level roles
Basic SQL knowledge and experience working with relational databases
Understanding of data modelling and data governance principles
Good communication and problem-solving skills
Ability to work collaboratively within a technical team
Advantageous:
Experience with Power BI or Tableau
Knowledge of Python, Pandas, or PySpark
Exposure to Azure, Microsoft Fabric, Databricks, or Azure Synapse
Familiarity with Git and version control practices
Interest in financial services analytics
NB: Applicants should submit a complete and updated CV. The position is based in Parktown North, Johannesburg. Applications submitted after the closing date may not be considered.
2
Minimum Requirements
Applicants must have:
BSc, BCom, BTech or equivalent qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field
Exposure to data engineering, data analytics, database work, internships, academic projects, or entry-level roles
Basic SQL knowledge and experience working with relational databases
Understanding of data modelling and data governance principles
Good communication and problem-solving skills
Ability to work collaboratively within a technical team
Advantageous:
Experience with Power BI or Tableau
Knowledge of Python, Pandas, or PySpark
Exposure to Azure, Microsoft Fabric, Databricks, or Azure Synapse
Familiarity with Git and version control practices
Interest in financial services analytics
NB: Applicants should submit a complete and updated CV. The position is based in Parktown North, Johannesburg. Applications submitted after the closing date may not be considered.
2
Minimum Requirements
Applicants must have:
BSc, BCom, BTech or equivalent qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field
Exposure to data engineering, data analytics, database work, internships, academic projects, or entry-level roles
Basic SQL knowledge and experience working with relational databases
Understanding of data modelling and data governance principles
Good communication and problem-solving skills
Ability to work collaboratively within a technical team
Advantageous:
Experience with Power BI or Tableau
Knowledge of Python, Pandas, or PySpark
Exposure to Azure, Microsoft Fabric, Databricks, or Azure Synapse
Familiarity with Git and version control practices
Interest in financial services analytics
NB: Applicants should submit a complete and updated CV. The position is based in Parktown North, Johannesburg. Applications submitted after the closing date may not be considered.
2
Minimum Requirements
Applicants must have:
BSc, BCom, BTech or equivalent qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field
Exposure to data engineering, data analytics, database work, internships, academic projects, or entry-level roles
Basic SQL knowledge and experience working with relational databases
Understanding of data modelling and data governance principles
Good communication and problem-solving skills
Ability to work collaboratively within a technical team
Advantageous:
Experience with Power BI or Tableau
Knowledge of Python, Pandas, or PySpark
Exposure to Azure, Microsoft Fabric, Databricks, or Azure Synapse
Familiarity with Git and version control practices
Interest in financial services analytics
NB: Applicants should submit a complete and updated CV. The position is based in Parktown North, Johannesburg. Applications submitted after the closing date may not be considered.
3
Key Responsibilities
Successful applicants will be responsible for:
Assisting with the design, development, testing, and maintenance of data pipelines
Supporting ETL (Extract, Transform, Load) processes across various data sources
Conducting data quality checks and investigating anomalies
Writing clean and documented SQL and Python code
Maintaining data governance, lineage, and metadata documentation
Supporting analytics, reporting, and Power BI initiatives
Monitoring pipeline health and resolving operational issues
Collaborating with data engineers, analysts, scientists, and IT teams
Preparing analysis-ready datasets for business intelligence and data science projects
Tip: Candidates with practical SQL, Power BI, Azure, Python, or cloud platform experience gained through projects or internships will have a competitive advantage.
3
Key Responsibilities
Successful applicants will be responsible for:
Assisting with the design, development, testing, and maintenance of data pipelines
Supporting ETL (Extract, Transform, Load) processes across various data sources
Conducting data quality checks and investigating anomalies
Writing clean and documented SQL and Python code
Maintaining data governance, lineage, and metadata documentation
Supporting analytics, reporting, and Power BI initiatives
Monitoring pipeline health and resolving operational issues
Collaborating with data engineers, analysts, scientists, and IT teams
Preparing analysis-ready datasets for business intelligence and data science projects
Tip: Candidates with practical SQL, Power BI, Azure, Python, or cloud platform experience gained through projects or internships will have a competitive advantage.
3
Key Responsibilities
Successful applicants will be responsible for:
Assisting with the design, development, testing, and maintenance of data pipelines
Supporting ETL (Extract, Transform, Load) processes across various data sources
Conducting data quality checks and investigating anomalies
Writing clean and documented SQL and Python code
Maintaining data governance, lineage, and metadata documentation
Supporting analytics, reporting, and Power BI initiatives
Monitoring pipeline health and resolving operational issues
Collaborating with data engineers, analysts, scientists, and IT teams
Preparing analysis-ready datasets for business intelligence and data science projects
Tip: Candidates with practical SQL, Power BI, Azure, Python, or cloud platform experience gained through projects or internships will have a competitive advantage.
3
Key Responsibilities
Successful applicants will be responsible for:
Assisting with the design, development, testing, and maintenance of data pipelines
Supporting ETL (Extract, Transform, Load) processes across various data sources
Conducting data quality checks and investigating anomalies
Writing clean and documented SQL and Python code
Maintaining data governance, lineage, and metadata documentation
Supporting analytics, reporting, and Power BI initiatives
Monitoring pipeline health and resolving operational issues
Collaborating with data engineers, analysts, scientists, and IT teams
Preparing analysis-ready datasets for business intelligence and data science projects
Tip: Candidates with practical SQL, Power BI, Azure, Python, or cloud platform experience gained through projects or internships will have a competitive advantage.
4
What You Will Gain
Employees will benefit from:
Permanent employment within a respected financial services company
Exposure to enterprise-scale cloud data platforms
Practical experience with Microsoft Fabric and Azure technologies
Career growth in data engineering and analytics
Continuous learning and mentorship from experienced professionals
Tip: Include academic projects, GitHub portfolios, internships, Power BI dashboards, and SQL projects on your CV to strengthen your application.
4
What You Will Gain
Employees will benefit from:
Permanent employment within a respected financial services company
Exposure to enterprise-scale cloud data platforms
Practical experience with Microsoft Fabric and Azure technologies
Career growth in data engineering and analytics
Continuous learning and mentorship from experienced professionals
Tip: Include academic projects, GitHub portfolios, internships, Power BI dashboards, and SQL projects on your CV to strengthen your application.
4
What You Will Gain
Employees will benefit from:
Permanent employment within a respected financial services company
Exposure to enterprise-scale cloud data platforms
Practical experience with Microsoft Fabric and Azure technologies
Career growth in data engineering and analytics
Continuous learning and mentorship from experienced professionals
Tip: Include academic projects, GitHub portfolios, internships, Power BI dashboards, and SQL projects on your CV to strengthen your application.
4
What You Will Gain
Employees will benefit from:
Permanent employment within a respected financial services company
Exposure to enterprise-scale cloud data platforms
Practical experience with Microsoft Fabric and Azure technologies
Career growth in data engineering and analytics
Continuous learning and mentorship from experienced professionals
Tip: Include academic projects, GitHub portfolios, internships, Power BI dashboards, and SQL projects on your CV to strengthen your application.
5
Application Process
How to Apply:
Submit:
Updated CV
Qualifications
Supporting documentation
Ensure your CV includes:
Educational background
Technical skills
Projects and internships
Employment history (if applicable)
Closing Date:
21 June 2026Apply early — late submissions may not be accepted.
Click the
Apply Button— you will be redirected to the official PPS application page.
Tip: Ensure all technical skills, SQL experience, Power BI exposure, and cloud-related projects are clearly highlighted on your CV.
5
Application Process
How to Apply:
Submit:
Updated CV
Qualifications
Supporting documentation
Ensure your CV includes:
Educational background
Technical skills
Projects and internships
Employment history (if applicable)
Closing Date:
21 June 2026Apply early — late submissions may not be accepted.
Click the
Apply Button— you will be redirected to the official PPS application page.
Tip: Ensure all technical skills, SQL experience, Power BI exposure, and cloud-related projects are clearly highlighted on your CV.
5
Application Process
How to Apply:
Submit:
Updated CV
Qualifications
Supporting documentation
Ensure your CV includes:
Educational background
Technical skills
Projects and internships
Employment history (if applicable)
Closing Date:
21 June 2026Apply early — late submissions may not be accepted.
Click the
Apply Button— you will be redirected to the official PPS application page.
Tip: Ensure all technical skills, SQL experience, Power BI exposure, and cloud-related projects are clearly highlighted on your CV.
5
Application Process
How to Apply:
Submit:
Updated CV
Qualifications
Supporting documentation
Ensure your CV includes:
Educational background
Technical skills
Projects and internships
Employment history (if applicable)
Closing Date:
21 June 2026Apply early — late submissions may not be accepted.
Click the
Apply Button— you will be redirected to the official PPS application page.
Tip: Ensure all technical skills, SQL experience, Power BI exposure, and cloud-related projects are clearly highlighted on your CV.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A relevant BSc, BCom, or BTech qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field.
Who can apply?
South African candidates who meet the educational requirements and possess foundational data engineering or analytics skills.
Is experience required?
Professional experience is not mandatory. Exposure through internships, projects, academic work, or entry-level roles is accepted.
How do I apply?
Click the Apply Button — you will be redirected to the official PPS application page and submit all required supporting documents before the closing date.
Is there career growth?
Yes. This role provides a pathway into Data Engineering, Analytics Engineering, Cloud Engineering, Business Intelligence, and Data Architecture careers.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A relevant BSc, BCom, or BTech qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field.
Who can apply?
South African candidates who meet the educational requirements and possess foundational data engineering or analytics skills.
Is experience required?
Professional experience is not mandatory. Exposure through internships, projects, academic work, or entry-level roles is accepted.
How do I apply?
Click the Apply Button — you will be redirected to the official PPS application page and submit all required supporting documents before the closing date.
Is there career growth?
Yes. This role provides a pathway into Data Engineering, Analytics Engineering, Cloud Engineering, Business Intelligence, and Data Architecture careers.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A relevant BSc, BCom, or BTech qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field.
Who can apply?
South African candidates who meet the educational requirements and possess foundational data engineering or analytics skills.
Is experience required?
Professional experience is not mandatory. Exposure through internships, projects, academic work, or entry-level roles is accepted.
How do I apply?
Click the Apply Button — you will be redirected to the official PPS application page and submit all required supporting documents before the closing date.
Is there career growth?
Yes. This role provides a pathway into Data Engineering, Analytics Engineering, Cloud Engineering, Business Intelligence, and Data Architecture careers.
6
FAQ
Frequently Asked Questions
Got questions about this role? We've got answers.
What qualifications are required?
A relevant BSc, BCom, or BTech qualification in IT, Computer Science, Information Systems, Data Engineering, or a related field.
Who can apply?
South African candidates who meet the educational requirements and possess foundational data engineering or analytics skills.
Is experience required?
Professional experience is not mandatory. Exposure through internships, projects, academic work, or entry-level roles is accepted.
How do I apply?
Click the Apply Button — you will be redirected to the official PPS application page and submit all required supporting documents before the closing date.
Is there career growth?
Yes. This role provides a pathway into Data Engineering, Analytics Engineering, Cloud Engineering, Business Intelligence, and Data Architecture careers.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify vacancy details through the official PPS careers website before applying.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify vacancy details through the official PPS careers website before applying.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify vacancy details through the official PPS careers website before applying.
7
Disclaimer
Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify vacancy details through the official PPS careers 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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© 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.
South Africa's leading job board connecting talented professionals with amazing opportunities across the country.
Navigation
Legal
© 2026
Spanisam. All rights reserved.