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About this job
Data Engineer
Job Summary
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data architectures that support analytics, reporting, and business intelligence solutions. This role ensures that data from multiple systems can be collected, transformed, and made available for analysis in a reliable and efficient manner.
Key Responsibilities
Design and implement data pipelines and ETL processes.
Integrate data from multiple systems such as ERP, CRM, and operational databases.
Build and maintain data warehouses and data lakes.
Ensure data quality, consistency, and reliability.
Work closely with BI Analysts to support dashboard development.
Optimize data pipelines for performance and scalability.
Implement data transformation and data cleansing processes.
Support advanced analytics and machine learning initiatives.
Maintain documentation of data architecture and data flows.
Technologies
ETL tools (SSIS, Azure Data Factory, Talend, Informatica)
SQL and Python
Data Warehousing platforms
Cloud data platforms (Azure, AWS, Google Cloud)
Big Data technologies (optional)
Required Qualifications
Bachelor’s degree in:
Computer Science
Data Engineering
Software Engineering
Information Systems
Required Skills
Strong SQL skills
Data pipeline development
Data modelling and warehousing
Programming (Python, Scala, or Java)
ETL and data integration tools
Preferred Skills
Cloud data platforms (Azure Data Factory, Snowflake, BigQuery)
Experience with real-time data processing
Knowledge of data governance frameworks
How to Apply
Please send your CV and Cover Letter to Egnesia.Mosha@cctz.co.tz, hr.admin@cctz.co.tz and hr@cctz.co.tz
Job Summary
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data architectures that support analytics, reporting, and business intelligence solutions. This role ensures that data from multiple systems can be collected, transformed, and made available for analysis in a reliable and efficient manner.
Key Responsibilities
Design and implement data pipelines and ETL processes.
Integrate data from multiple systems such as ERP, CRM, and operational databases.
Build and maintain data warehouses and data lakes.
Ensure data quality, consistency, and reliability.
Work closely with BI Analysts to support dashboard development.
Optimize data pipelines for performance and scalability.
Implement data transformation and data cleansing processes.
Support advanced analytics and machine learning initiatives.
Maintain documentation of data architecture and data flows.
Technologies
ETL tools (SSIS, Azure Data Factory, Talend, Informatica)
SQL and Python
Data Warehousing platforms
Cloud data platforms (Azure, AWS, Google Cloud)
Big Data technologies (optional)
Required Qualifications
Bachelor’s degree in:
Computer Science
Data Engineering
Software Engineering
Information Systems
Required Skills
Strong SQL skills
Data pipeline development
Data modelling and warehousing
Programming (Python, Scala, or Java)
ETL and data integration tools
Preferred Skills
Cloud data platforms (Azure Data Factory, Snowflake, BigQuery)
Experience with real-time data processing
Knowledge of data governance frameworks
How to Apply
Please send your CV and Cover Letter to Egnesia.Mosha@cctz.co.tz, hr.admin@cctz.co.tz and hr@cctz.co.tz