Job
Featured
Data Engineer at Watu Credit Limited
Watu Credit Limited
Nairobi
67 views
About this Opportunity
Data Engineer at Watu Credit Limited
SEO Title: Data Engineer at Watu Credit Limited – Nairobi | Apply
Meta Description: Watu Credit Limited is hiring a Data Engineer in Nairobi with 3+ years of experience in data engineering or backend engineering, advanced SQL, Python and modern data warehousing.
SEO Slug: data-engineer-watu-credit-limited
Job Details
Detail| Information
Job Title| Data Engineer
Company| Watu Credit Limited
Location| Nairobi, Kenya
Job Type| Full Time
Qualification| BA/BSc/HND or equivalent
Experience| At least 3 years
Category| Data, Business Analysis & AI; ICT / Computer
Salary| Competitive compensation package
Deadline| Not specified
Posted| September 26, 2026
Job Overview
Watu Credit Limited is seeking an experienced and technically strong Data Engineer to join its Data Analytics department in Nairobi.
The successful candidate will help establish and strengthen the company's data engineering foundations by designing reliable data pipelines, supporting data warehouse administration, implementing data governance and improving the quality and security of analytics data.
The role also provides an opportunity to contribute to Watu Credit's emerging AI initiatives, including the development of internal AI tools, agents and intelligent workflows that can automate business processes.
The position involves working with technologies including Google Cloud Platform, Datastream, Microsoft Fabric, Databricks, dbt, SQL and Python.
About Watu Credit Limited
Watu Credit Limited is a technology-driven non-bank financial services company that provides unsecured lending, primarily through mobile services.
The company focuses on developing inclusive financial products delivered through technology with an emphasis on efficiency, accessibility and professional service.
Key Responsibilities
Data Engineering & Pipelines
- Design, build and deploy reliable data ingestion pipelines.
- Connect data from diverse sources into the organization's Data Warehouse.
- Develop scalable processes for continuous data ingestion and processing.
- Support the evolution of the company's data engineering infrastructure.
Data Transformation
- Transform raw information into clean, structured and analyst-ready datasets.
- Use SQL, dbt and Google Cloud technologies to develop transformation processes.
- Maintain efficient ETL/ELT workflows.
- Ensure transformed data remains reliable and suitable for analytics.
Data Quality, Security & Governance
- Take responsibility for data quality, consistency and accuracy.
- Implement appropriate data security controls.
- Develop and enforce data governance rules.
- Support compliance and protection of organizational data.
- Identify and address data quality issues before they affect business operations.
Data Warehouse Administration
- Administer and maintain the Data Warehouse.
- Monitor warehouse performance, organization and accessibility.
- Help establish modern data warehouse standards and architectural practices.
- Ensure data platforms can scale as the organization grows.
AI Development & Automation
- Contribute to Watu Credit's initial AI initiatives.
- Develop internal AI tools and intelligent agents.
- Build workflows that use organizational data to automate business processes.
- Explore modern AI approaches such as Retrieval-Augmented Generation (RAG), vector databases and tool-enabled AI systems.
Architecture & Infrastructure
- Support the development and improvement of data architecture.
- Implement and maintain analytics engineering tools and infrastructure.
- Contribute to technical standards and best practices.
- Help build scalable and efficient data systems.
Qualifications and Requirements
Applicants should have:
- At least 3 years of professional experience in Data Engineering or Backend Engineering.
- Advanced proficiency in SQL.
- Strong programming skills in Python.
- Strong understanding of modern Data Warehouse technologies.
- Knowledge of data warehouse architecture and best practices.
- Practical experience with data ingestion, transformation and management.
- Understanding of ETL/ELT processes.
Additional Technical Skills
Experience with the following will be an advantage:
- Google Cloud Platform.
- Google Cloud Storage.
- BigQuery.
- Datastream.
- Dataflow.
- dbt (data build tool).
- Microsoft Fabric.
- Databricks.
- Vector databases.
- Retrieval-Augmented Generation (RAG).
- Large Language Model (LLM) tools and integrations.
- API integrations.
- Big Data technologies.
- Non-relational databases.
- Data streaming and real-time processing.
- Git and version control.
- Programming languages beyond Python and SQL.
Key Skills
The ideal candidate should demonstrate:
- Advanced SQL and Python skills.
- Data engineering expertise.
- Data warehouse administration.
- ETL/ELT development.
- Data pipeline development.
- Data quality management.
- Data governance.
- Cloud data engineering.
- AI and automation awareness.
- Problem-solving ability.
- Strong attention to detail.
- Independent working ability.
- Strong communication and collaboration skills.
Who Should Apply?
This opportunity is suitable for an experienced Data Engineer or Backend Engineer who wants to work on large-scale data infrastructure while also gaining exposure to AI engineering and automation.
Candidates should be proactive, technically curious and comfortable taking ownership of data systems and projects.
What Watu Credit Offers
According to the vacancy, successful candidates can expect:
- An international and dynamic working environment.
- Opportunities for learning and professional growth.
- Competitive compensation.
- Health benefits.
- Exposure to modern data and AI technologies.
How to Prepare Your CV
Applicants should tailor their CV to clearly demonstrate experience in:
- Data engineering or backend engineering.
- Advanced SQL.
- Python development and automation.
- Data pipelines and ETL/ELT.
- Data warehouse technologies.
- Cloud platforms, especially Google Cloud.
- dbt and modern data transformation.
- Data quality and governance.
- AI, RAG, vector databases or automation where applicable.
Quantify achievements where possible, such as improvements in pipeline reliability, data processing speed, query performance, data quality or automation.
Salary and Work Arrangement
The vacancy describes the position as Full Time and lists a competitive compensation package together with health benefits. A specific salary amount is not specified.
The position is based in Nairobi, Kenya.
Application Details
Interested and qualified candidates should apply through Watu Credit Limited's official recruitment platform as indicated in the vacancy.
Application: Watu Credit Limited recruitment platform
Deadline: Not specified
Applicants are encouraged to submit an updated CV highlighting their data engineering, SQL, Python, cloud, data warehouse and AI-related experience.
Job Summary
Watu Credit Limited is hiring a Data Engineer in Nairobi to build and strengthen its data engineering foundations. The role requires at least three years of Data Engineering or Backend Engineering experience, advanced SQL, strong Python skills and knowledge of modern data warehousing and ETL/ELT.
The successful candidate will work on data ingestion pipelines, transformation, warehouse administration, governance, data security and architecture while also contributing to the company's emerging AI and automation initiatives.
Frequently Asked Questions
1. What is the position available at Watu Credit Limited?
The position is Data Engineer.
2. Where is the Data Engineer position based?
The position is based in Nairobi, Kenya.
3. How much experience is required?
Applicants should have at least three years of experience in Data Engineering or Backend Engineering.
4. What programming languages are required?
Advanced SQL and strong Python skills are essential.
5. Is Google Cloud experience required?
Google Cloud experience is listed as an additional technical advantage, particularly experience with BigQuery, Cloud Storage, Datastream and Dataflow.
6. Is AI experience required?
AI development experience is an advantage. The successful candidate will contribute to Watu Credit's emerging AI tools, agents and intelligent workflows.
7. What is the salary for the position?
A specific salary is not provided. The vacancy states that the company offers competitive compensation and health benefits.
8. What is the application deadline?
The deadline is not specified in the vacancy.
9. Is the job full time?
Yes. The position is advertised as Full Time.
10. What should applicants emphasize in their CV?
Applicants should emphasize SQL, Python, data engineering, data pipelines, ETL/ELT, data warehouses, cloud technologies, data governance and relevant AI or automation experience.
Job Scam Warning
Job seekers should be cautious of anyone asking for money in exchange for a job, interview, recruitment assessment, certificate, training or employment opportunity. Do not make payments to individuals claiming to represent an employer unless the payment is independently verified through an official company channel.
For more job description visit: jobopenings.co.ke
SEO Title: Data Engineer at Watu Credit Limited – Nairobi | Apply
Meta Description: Watu Credit Limited is hiring a Data Engineer in Nairobi with 3+ years of experience in data engineering or backend engineering, advanced SQL, Python and modern data warehousing.
SEO Slug: data-engineer-watu-credit-limited
Job Details
Detail| Information
Job Title| Data Engineer
Company| Watu Credit Limited
Location| Nairobi, Kenya
Job Type| Full Time
Qualification| BA/BSc/HND or equivalent
Experience| At least 3 years
Category| Data, Business Analysis & AI; ICT / Computer
Salary| Competitive compensation package
Deadline| Not specified
Posted| September 26, 2026
Job Overview
Watu Credit Limited is seeking an experienced and technically strong Data Engineer to join its Data Analytics department in Nairobi.
The successful candidate will help establish and strengthen the company's data engineering foundations by designing reliable data pipelines, supporting data warehouse administration, implementing data governance and improving the quality and security of analytics data.
The role also provides an opportunity to contribute to Watu Credit's emerging AI initiatives, including the development of internal AI tools, agents and intelligent workflows that can automate business processes.
The position involves working with technologies including Google Cloud Platform, Datastream, Microsoft Fabric, Databricks, dbt, SQL and Python.
About Watu Credit Limited
Watu Credit Limited is a technology-driven non-bank financial services company that provides unsecured lending, primarily through mobile services.
The company focuses on developing inclusive financial products delivered through technology with an emphasis on efficiency, accessibility and professional service.
Key Responsibilities
Data Engineering & Pipelines
- Design, build and deploy reliable data ingestion pipelines.
- Connect data from diverse sources into the organization's Data Warehouse.
- Develop scalable processes for continuous data ingestion and processing.
- Support the evolution of the company's data engineering infrastructure.
Data Transformation
- Transform raw information into clean, structured and analyst-ready datasets.
- Use SQL, dbt and Google Cloud technologies to develop transformation processes.
- Maintain efficient ETL/ELT workflows.
- Ensure transformed data remains reliable and suitable for analytics.
Data Quality, Security & Governance
- Take responsibility for data quality, consistency and accuracy.
- Implement appropriate data security controls.
- Develop and enforce data governance rules.
- Support compliance and protection of organizational data.
- Identify and address data quality issues before they affect business operations.
Data Warehouse Administration
- Administer and maintain the Data Warehouse.
- Monitor warehouse performance, organization and accessibility.
- Help establish modern data warehouse standards and architectural practices.
- Ensure data platforms can scale as the organization grows.
AI Development & Automation
- Contribute to Watu Credit's initial AI initiatives.
- Develop internal AI tools and intelligent agents.
- Build workflows that use organizational data to automate business processes.
- Explore modern AI approaches such as Retrieval-Augmented Generation (RAG), vector databases and tool-enabled AI systems.
Architecture & Infrastructure
- Support the development and improvement of data architecture.
- Implement and maintain analytics engineering tools and infrastructure.
- Contribute to technical standards and best practices.
- Help build scalable and efficient data systems.
Qualifications and Requirements
Applicants should have:
- At least 3 years of professional experience in Data Engineering or Backend Engineering.
- Advanced proficiency in SQL.
- Strong programming skills in Python.
- Strong understanding of modern Data Warehouse technologies.
- Knowledge of data warehouse architecture and best practices.
- Practical experience with data ingestion, transformation and management.
- Understanding of ETL/ELT processes.
Additional Technical Skills
Experience with the following will be an advantage:
- Google Cloud Platform.
- Google Cloud Storage.
- BigQuery.
- Datastream.
- Dataflow.
- dbt (data build tool).
- Microsoft Fabric.
- Databricks.
- Vector databases.
- Retrieval-Augmented Generation (RAG).
- Large Language Model (LLM) tools and integrations.
- API integrations.
- Big Data technologies.
- Non-relational databases.
- Data streaming and real-time processing.
- Git and version control.
- Programming languages beyond Python and SQL.
Key Skills
The ideal candidate should demonstrate:
- Advanced SQL and Python skills.
- Data engineering expertise.
- Data warehouse administration.
- ETL/ELT development.
- Data pipeline development.
- Data quality management.
- Data governance.
- Cloud data engineering.
- AI and automation awareness.
- Problem-solving ability.
- Strong attention to detail.
- Independent working ability.
- Strong communication and collaboration skills.
Who Should Apply?
This opportunity is suitable for an experienced Data Engineer or Backend Engineer who wants to work on large-scale data infrastructure while also gaining exposure to AI engineering and automation.
Candidates should be proactive, technically curious and comfortable taking ownership of data systems and projects.
What Watu Credit Offers
According to the vacancy, successful candidates can expect:
- An international and dynamic working environment.
- Opportunities for learning and professional growth.
- Competitive compensation.
- Health benefits.
- Exposure to modern data and AI technologies.
How to Prepare Your CV
Applicants should tailor their CV to clearly demonstrate experience in:
- Data engineering or backend engineering.
- Advanced SQL.
- Python development and automation.
- Data pipelines and ETL/ELT.
- Data warehouse technologies.
- Cloud platforms, especially Google Cloud.
- dbt and modern data transformation.
- Data quality and governance.
- AI, RAG, vector databases or automation where applicable.
Quantify achievements where possible, such as improvements in pipeline reliability, data processing speed, query performance, data quality or automation.
Salary and Work Arrangement
The vacancy describes the position as Full Time and lists a competitive compensation package together with health benefits. A specific salary amount is not specified.
The position is based in Nairobi, Kenya.
Application Details
Interested and qualified candidates should apply through Watu Credit Limited's official recruitment platform as indicated in the vacancy.
Application: Watu Credit Limited recruitment platform
Deadline: Not specified
Applicants are encouraged to submit an updated CV highlighting their data engineering, SQL, Python, cloud, data warehouse and AI-related experience.
Job Summary
Watu Credit Limited is hiring a Data Engineer in Nairobi to build and strengthen its data engineering foundations. The role requires at least three years of Data Engineering or Backend Engineering experience, advanced SQL, strong Python skills and knowledge of modern data warehousing and ETL/ELT.
The successful candidate will work on data ingestion pipelines, transformation, warehouse administration, governance, data security and architecture while also contributing to the company's emerging AI and automation initiatives.
Frequently Asked Questions
1. What is the position available at Watu Credit Limited?
The position is Data Engineer.
2. Where is the Data Engineer position based?
The position is based in Nairobi, Kenya.
3. How much experience is required?
Applicants should have at least three years of experience in Data Engineering or Backend Engineering.
4. What programming languages are required?
Advanced SQL and strong Python skills are essential.
5. Is Google Cloud experience required?
Google Cloud experience is listed as an additional technical advantage, particularly experience with BigQuery, Cloud Storage, Datastream and Dataflow.
6. Is AI experience required?
AI development experience is an advantage. The successful candidate will contribute to Watu Credit's emerging AI tools, agents and intelligent workflows.
7. What is the salary for the position?
A specific salary is not provided. The vacancy states that the company offers competitive compensation and health benefits.
8. What is the application deadline?
The deadline is not specified in the vacancy.
9. Is the job full time?
Yes. The position is advertised as Full Time.
10. What should applicants emphasize in their CV?
Applicants should emphasize SQL, Python, data engineering, data pipelines, ETL/ELT, data warehouses, cloud technologies, data governance and relevant AI or automation experience.
Job Scam Warning
Job seekers should be cautious of anyone asking for money in exchange for a job, interview, recruitment assessment, certificate, training or employment opportunity. Do not make payments to individuals claiming to represent an employer unless the payment is independently verified through an official company channel.
For more job description visit: jobopenings.co.ke
Apply Now
More Opportunities
Entry-Level Catering & Operations Manager Job in Nairobi at Nexus Staffing Solutions
Nexus Staffing Solutions
Solutions Team Admin Intern Job at Afratech – Mombasa
African Centre for Data Science & Analytics Ltd
Learner – Cybersecurity Vacancy at NTT Ltd – Nairobi
Cybersecurity Vacancy at NTT Ltd – Nairobi
Senior Information Communication Technology Officer (Microsoft Navision) at KASNEB
KASNEB
While you read
Recommended Products
Random picks from different verified sellers
HOT
HOT
HOT