FREELANCE2 months ago

Job - Data Pipeline Manager job at Yas Tanzania

Non precisé
Dar es Salaam (Tanzania)

Job Description

Job - Data Pipeline Manager job at Yas Tanzania

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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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Job Details

  • Country : Tanzanie
  • City : Dar es Salaam
  • Contract Type : Freelance

Expert Application Advice

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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