Data Pipeline Manager at Yas Tanzania
Data Pipeline Manager at Yas Tanzania chez Non precisé à Dar es Salaam.
Job - Data Pipeline Manager job at Yas Tanzania
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Yas Tanzania
Website :
42 Days Ago
Data Pipeline Manager
2026-04-01T10:08:08+00:00
Yas Tanzania
FULL_TIME
Dar es Salaam
Dar es Salaam
00000
Tanzania
Professional Services
Computer & IT, Science & Engineering, Management
TZS
MONTH
2026-04-10T17:00:00+00:00
8
Let's grow together, become our DATA PIPELINE MANAGER
Bachelor Degree in Computer Science, ICT, Engineering or any related field, Master's Degree is an added advantage
Minimum of 5+ years in data engineering or software development, with at least 3 years focused on building production-grade data pipelines.
CORE RESPONSIBILITIES
Design and maintain pipelines by creating an agile environment that will ensure scalability while monitoring performance and failures preventions.
Evaluate new technologies, infrastructure and tools to improve data processing and analysis capabilities.
Modernise systems and workflows to enhance data organisational efficiency and resilience.
Coordinate, schedule, and monitor complex workflows in data pipelines.
Support data product delivery by ensuring reliable and reusable data pipelines.
Implement rigorous automated testing, data quality checks, validation frameworks, and monitoring alerts to ensure high data integrity and availability.
Oversee the selection and optimization of data processing tools and cloud infrastructure to balance performance.
COMPETENCES
Programming Proficiency: Expert-level knowledge of Python or Java/Scala, alongside advanced SQL skills for complex querying and performance tuning.
Handling large-scale, multi-source data experience on the cloud or multi-platforms sources
Cloud Expertise: Hands-on experience with major cloud platforms (AWS, Google Cloud Platform, or Azure) and their respective data services.
Architectural Knowledge: Deep understanding of distributed computing principles, data modelling techniques and data warehouse architecture.
Design and maintain pipelines by creating an agile environment that will ensure scalability while monitoring performance and failures preventions. Evaluate new technologies, infrastructure and tools to improve data processing and analysis capabilities. Modernise systems and workflows to enhance data organisational efficiency and resilience. Coordinate, schedule, and monitor complex workflows in data pipelines. Support data product delivery by ensuring reliable and reusable data pipelines. Implement rigorous automated testing, data quality checks, validation frameworks, and monitoring alerts to ensure high data integrity and availability. Oversee the selection and optimization of data processing tools and cloud infrastructure to balance performance.
Expert-level knowledge of Python or Java/Scala Advanced SQL skills Handling large-scale, multi-source data experience on the cloud or multi-platforms sources Hands-on experience with major cloud platforms (AWS, Google Cloud Platform, or Azure) and their respective data services. Deep understanding of distributed computing principles, data modelling techniques and data warehouse architecture.
Bachelor Degree in Computer Science, ICT, Engineering or any related field Master's Degree is an added advantage
bachelor degree
36
JOB-69ccee8860e9a
Vacancy title: Data Pipeline Manager
[Type: FULL_TIME, Industry: Professional Services, Category: Computer & IT, Science & Engineering, Management]
Jobs at: Yas Tanzania
Deadline of this Job: Friday, April 10 2026
Duty Station: Dar es Salaam | Dar es Salaam
Summary Date Posted: Wednesday, April 1 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Let's grow together, become our DATA PIPELINE MANAGER
Bachelor Degree in Computer Science, ICT, Engineering or any related field, Master's Degree is an added advantage
Minimum of 5+ years in data engineering or software development, with at least 3 years focused on building production-grade data pipelines.
CORE RESPONSIBILITIES
Design and maintain pipelines by creating an agile environment that will ensure scalability while monitoring performance and failures preventions.
Evaluate new technologies, infrastructure and tools to improve data processing and analysis capabilities.
Modernise systems and workflows to enhance data organisational efficiency and resilience.
Coordinate, schedule, and monitor complex workflows in data pipelines.
Support data product delivery by ensuring reliable and reusable data pipelines.
Implement rigorous automated testing, data quality checks, validation frameworks, and monitoring alerts to ensure high data integrity and availability.
Oversee the selection and optimization of data processing tools and cloud infrastructure to balance performance.
COMPETENCES
Programming Proficiency: Expert-level knowledge of Python or Java/Scala, alongside advanced SQL skills for complex querying and performance tuning.
Handling large-scale, multi-source data experience on the cloud or multi-platforms sources
Cloud Expertise: Hands-on experience with major cloud platforms (AWS, Google Cloud Platform, or Azure) and their respective data services.
Architectural Knowledge: Deep understanding of distributed computing principles, data modelling techniques and data warehouse architecture.
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
Job application procedure If this description corresponds to you, grow with us by applying before April 10, 2026
Application Link: Click Here to Apply Now
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Job Info
Job Category: Management jobs in Tanzania
Job Type: Full-time
Deadline of this Job: Friday, April 10 2026 Duty Station: Dar es Salaam | Dar es Salaam
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Technical proficiency — Non precisé expects hands-on mastery of Python, SQL. Don't just list them: describe a concrete project where you used them and the outcome delivered.
Positioning — Your cover letter must answer one question: why YOU for THIS specific role right NOW? Avoid generic templates — one sentence on what you specifically bring beats three generic paragraphs.
Measurable achievements — At this level, back every skill with a precise example and a quantified result. Prepare 2-3 strategic questions about this organization's current challenges — candidates who anticipate difficulties are consistently rated higher.
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