Mid-Level Data Engineer

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: 09-10-2025

Vacancies: 1 Vacancy

Job Summary

Seeking a talented and results-oriented Mid-Level Data Engineer to join our growing this pivotal role you will play a key role in designing developing and maintaining our data infrastructure ensuring the efficient and reliable flow of data to support critical business needs. You will collaborate with data analysts data scientists and other stakeholders to translate business requirements into robust data solutions ultimately driving data-driven decision making across the organization.

Job requirements:

Design implement and manage scalable data pipelines ensuring optimal performance using best practices and industry-standard tools and technologies.
Manage and maintain the ELT/ETL processes.
Develop manage and maintain the data warehouse its architecture integrations schemas scripts and automations
Automate data processing tasks to improve efficiency and reduce manual work.
Develop and implement data quality checks proactive monitoring processes and maintenance activities on the data warehouse to ensure data integrity and accuracy.
Develop manage and maintain the Data infrastructure which includes the test pre-production and production environments for the data warehouse.
Implement a secure data framework that meets business needs
Storing of Data in a secure and efficient manner and ensuring tight controls on access to data
Work closely with data analysts and scientists to understand data requirements and translate them into technical specifications.
Troubleshoot data-related issues and identify root causes to ensure consistent data delivery.
Create documentation and processes for clear communication and knowledge transfer.
Develop and maintain the data architecture and validations as part of the enterprise architecture project to ensure backend systems to ensure compliance.
Deliver on projects and adopt a project-based delivery model.
Stay up-to-date on emerging data technologies and trends and continuously seek opportunities to improve the organizations data infrastructure.
Perform any other duties and responsibilities as assigned to support the teams objectives and the organisations data needs.

Location and Work Model

This is a primarily office-based role; however a hybrid work model for limited days can be explored based on performance.

Qualifications :

Qualification:

Bachelors degree in Statistics Mathematics Computer Science or a related field.

Knowledge/Experience:

Minimum of 3 years of experience as a Data Engineer or similar role.
Proven experience in designing developing and deploying data pipelines.
Three or more years of experience with Python SQL PostgreSQL and data visualization/exploration tools such as Power BI or Looker
Experience with data warehousing and data modelling concepts.
Excellent problem-solving and analytical skills with a data-driven approach.
Ability to work on a dynamic analytical-oriented team that can work on concurrent projects.

Additional Information :

Personal Attributes

Excellent problem-solving skills backed by solid technical knowledge.
Excellent customer service and communication skills with the ability to explain technical concepts to non-technical users.
Excellent organisational and time-management skills with the ability to manage multiple priorities in a fast-paced environment.
A versatile and service-oriented mind-set.
Good communication skills.
Understands the importance of documentation.
Open to learn but also willing to teach.

Remote Work :

Employment Type :

Full-time

Job requirements:

Design implement and manage scalable data pipelines ensuring optimal performance using best practices and industry-standard tools and technologies.
Manage and maintain the ELT/ETL processes.
Develop manage and maintain the data warehouse its architecture integrations schemas scripts and automations
Automate data processing tasks to improve efficiency and reduce manual work.
Develop and implement data quality checks proactive monitoring processes and maintenance activities on the data warehouse to ensure data integrity and accuracy.
Develop manage and maintain the Data infrastructure which includes the test pre-production and production environments for the data warehouse.
Implement a secure data framework that meets business needs
Storing of Data in a secure and efficient manner and ensuring tight controls on access to data
Work closely with data analysts and scientists to understand data requirements and translate them into technical specifications.
Troubleshoot data-related issues and identify root causes to ensure consistent data delivery.
Create documentation and processes for clear communication and knowledge transfer.
Develop and maintain the data architecture and validations as part of the enterprise architecture project to ensure backend systems to ensure compliance.
Deliver on projects and adopt a project-based delivery model.
Stay up-to-date on emerging data technologies and trends and continuously seek opportunities to improve the organizations data infrastructure.
Perform any other duties and responsibilities as assigned to support the teams objectives and the organisations data needs.

Location and Work Model

This is a primarily office-based role; however a hybrid work model for limited days can be explored based on performance.

Qualifications :

Qualification:

Bachelors degree in Statistics Mathematics Computer Science or a related field.

Knowledge/Experience:

Minimum of 3 years of experience as a Data Engineer or similar role.
Proven experience in designing developing and deploying data pipelines.
Three or more years of experience with Python SQL PostgreSQL and data visualization/exploration tools such as Power BI or Looker
Experience with data warehousing and data modelling concepts.
Excellent problem-solving and analytical skills with a data-driven approach.
Ability to work on a dynamic analytical-oriented team that can work on concurrent projects.

Additional Information :

Personal Attributes

Excellent problem-solving skills backed by solid technical knowledge.
Excellent customer service and communication skills with the ability to explain technical concepts to non-technical users.
Excellent organisational and time-management skills with the ability to manage multiple priorities in a fast-paced environment.
A versatile and service-oriented mind-set.
Good communication skills.
Understands the importance of documentation.
Open to learn but also willing to teach.

Remote Work :

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Kaelo

About Kaelo Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Ins ... View more

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