Data Engineer (Swellendam)

Description:

Description
SSK currently has the following career opportunity in its Information Systems department in Swellendam. The position offers a Hybrid work model, subject to the department's needs. The Data Engineer is responsible for designing, building, and maintaining reliable data pipelines and integrations that support SSK’s Snowflake data platform. This role ensures high data quality, performance, and governance across the enterprise, enabling advanced analytics, AI forecasting, and automation initiatives aligned with SSK’s 2030 digital strategy. The position focuses on ETL/ELT development, semantic layer contribution, and data-driven operations across business systems.

Responsibilities

• Develop and maintain ETL/ELT data pipelines using dbt, Python, and SQL.
  
• Manage data ingestion from SAP, MS SQL Server, and other systems into Snowflake.
  
• Apply data validation, monitoring, and exception handling to ensure consistent data quality.
  
• Collaborate with BI, Application, and Data teams to optimize performance, cost efficiency, and data accessibility.
  
• Implement data governance measures, including lineage, access controls, and documentation.
  
• Contribute to data model design and semantic layer development.
  
• Support automation and AI initiatives using Snowflake Cortex AI and Power Platform.
  
• Monitor, troubleshoot, and resolve pipeline issues in production.
  

Requirements

• Degree or Diploma in Information Systems, Data Engineering, or Computer Science.
  
• 2–5 years’ experience in data integration, SQL Server, or cloud data engineering.
  
• Experience with Python, dbt, Git-based workflows, and CI/CD is beneficial.
  
• Understanding of data governance, lineage, RBAC, and Snowflake platform concepts.

Behavioural Traits

• Strong problem-solving, analytical thinking, and attention to detail.
• Collaborative communicator with a proactive, adaptable mindset.
• Able to manage priorities in a fast-changing environment; committed to continuous learning.
  

Please consider your application unsuccessful if you have not received feedback within one month of the closing date. SSK reserves the right not to fill any position. SSK is an equal-opportunity employer.

Requirements:

Description
SSK currently has the following career opportunity in its Information Systems department in Swellendam. The position offers a Hybrid work model, subject to the department's needs. The Data Engineer is responsible for designing, building, and maintaining reliable data pipelines and integrations that support SSK’s Snowflake data platform. This role ensures high data quality, performance, and governance across the enterprise, enabling advanced analytics, AI forecasting, and automation initiatives aligned with SSK’s 2030 digital strategy. The position focuses on ETL/ELT development, semantic layer contribution, and data-driven operations across business systems.

Responsibilities

• Develop and maintain ETL/ELT data pipelines using dbt, Python, and SQL.
  
• Manage data ingestion from SAP, MS SQL Server, and other systems into Snowflake.
  
• Apply data validation, monitoring, and exception handling to ensure consistent data quality.
  
• Collaborate with BI, Application, and Data teams to optimize performance, cost efficiency, and data accessibility.
  
• Implement data governance measures, including lineage, access controls, and documentation.
  
• Contribute to data model design and semantic layer development.
  
• Support automation and AI initiatives using Snowflake Cortex AI and Power Platform.
  
• Monitor, troubleshoot, and resolve pipeline issues in production.
  

Requirements

• Degree or Diploma in Information Systems, Data Engineering, or Computer Science.
  
• 2–5 years’ experience in data integration, SQL Server, or cloud data engineering.
  
• Experience with Python, dbt, Git-based workflows, and CI/CD is beneficial.
  
• Understanding of data governance, lineage, RBAC, and Snowflake platform concepts.

Behavioural Traits

• Strong problem-solving, analytical thinking, and attention to detail.
• Collaborative communicator with a proactive, adaptable mindset.
• Able to manage priorities in a fast-changing environment; committed to continuous learning.
  

Please consider your application unsuccessful if you have not received feedback within one month of the closing date. SSK reserves the right not to fill any position. SSK is an equal-opportunity employer. Description
SSK currently has the following career opportunity in its Information Systems department in Swellendam. The position offers a Hybrid work model, subject to the department's needs. The Data Engineer is responsible for designing, building, and maintaining reliable data pipelines and integrations that support SSK’s Snowflake data platform. This role ensures high data quality, performance, and governance across the enterprise, enabling advanced analytics, AI forecasting, and automation initiatives aligned with SSK’s 2030 digital strategy. The position focuses on ETL/ELT development, semantic layer contribution, and data-driven operations across business systems.

Responsibilities

• Develop and maintain ETL/ELT data pipelines using dbt, Python, and SQL.
  
• Manage data ingestion from SAP, MS SQL Server, and other systems into Snowflake.
  
• Apply data validation, monitoring, and exception handling to ensure consistent data quality.
  
• Collaborate with BI, Application, and Data teams to optimize performance, cost efficiency, and data accessibility.
  
• Implement data governance measures, including lineage, access controls, and documentation.
  
• Contribute to data model design and semantic layer development.
  
• Support automation and AI initiatives using Snowflake Cortex AI and Power Platform.
  
• Monitor, troubleshoot, and resolve pipeline issues in production.
  

Requirements

• Degree or Diploma in Information Systems, Data Engineering, or Computer Science.
  
• 2–5 years’ experience in data integration, SQL Server, or cloud data engineering.
  
• Experience with Python, dbt, Git-based workflows, and CI/CD is beneficial.
  
• Understanding of data governance, lineage, RBAC, and Snowflake platform concepts.

Behavioural Traits

• Strong problem-solving, analytical thinking, and attention to detail.
• Collaborative communicator with a proactive, adaptable mindset.
• Able to manage priorities in a fast-changing environment; committed to continuous learning.
  

Please consider your application unsuccessful if you have not received feedback within one month of the closing date. SSK reserves the right not to fill any position. SSK is an equal-opportunity employer.

• Develop and maintain ETL/ELT data pipelines using dbt, Python, and SQL.
  
• Manage data ingestion from SAP, MS SQL Server, and other systems into Snowflake.
  
• Apply data validation, monitoring, and exception handling to ensure consistent data quality.
  
• Collaborate with BI, Application, and Data teams to optimize performance, cost efficiency, and data accessibility.
  
• Implement data governance measures, including lineage, access controls, and documentation.
  
• Contribute to data model design and semantic layer development.
  
• Support automation and AI initiatives using Snowflake Cortex AI and Power Platform.
  
• Monitor, troubleshoot, and resolve pipeline issues in production.
  

• Degree or Diploma in Information Systems, Data Engineering, or Computer Science.
  
• 2–5 years’ experience in data integration, SQL Server, or cloud data engineering.
  
• Experience with Python, dbt, Git-based workflows, and CI/CD is beneficial.
  
• Understanding of data governance, lineage, RBAC, and Snowflake platform concepts.

• Strong problem-solving, analytical thinking, and attention to detail.
• Collaborative communicator with a proactive, adaptable mindset.
• Able to manage priorities in a fast-changing environment; committed to continuous learning.