Mid-level Information technology, software development, data jobs in Kitengela, Kenya

30 jobs found

Equity Bank Kenya

Lead Data Engineer

Nairobi

Kenya

Closed for applications
International Rescue Committee

Data Analytics Engineer

Nairobi

Kenya

Closed for applications
UNEP

Data Science Assistant, G5

Nairobi

Kenya

Closed for applications
HF Group

Core Banking Support Officer

Nairobi

Kenya

Closed for applications
APA Life Insurance Limited

Software Engineer

Nairobi

Kenya

Closed for applications
Solar Panda

Lead Software Engineer

Nairobi

Kenya

Closed for applications
CARE International

Support Services Manager

Nairobi

Kenya

Closed for applications
UNEP

Ecosystem Technical Specialist

Nairobi

Kenya

Closed for applications
Flutterwave

AI Engineer

Nairobi

Kenya

Closed for applications

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DDD Kenya Ltd

AI Solutions Manager

Nairobi

Kenya

Closed for applications

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Jobs in Nairobi, Jobs in Kitengela

Country / Region

Profession (Mid-level)

Seniority (Information technology, software development, data)

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Equity Bank Kenya

Banking + 2 more

Lead Data Engineer

Closed for applications
Job details

Contract Type

Description
Qualifications


  • Professional Experience Levels

  • Lead ML Data Engineer: 5+ years of progressive experience in designing and implementing data solutions, including SQL-based extraction, Python-driven pipelines, and data architecture for analytics and machine learning.

    Industry Exposure

  • Experience in Banking, Fintech, or Digital Lending environments is highly desirable


  • Must-Have –

  • A bachelor’s Degree, Diploma, or professional certification in Computer Science, Software Engineering, Information Technology, or a closely related field


Responsibilities
  • Understand and document multiple banking databases, schemas, and table relationships to create a comprehensive data map.

  • Write efficient SQL queries and Python scripts to extract, clean, and transform data into analysis-ready datasets.

  • Design and maintain automated ETL/ELT pipelines with data quality checks, monitoring, and error handling.

  • Collaborate with Data Scientists, Risk, and Analytics teams to deliver curated datasets for credit scoring and reporting.

  • Ensure compliance with data governance, security standards, and regulatory requirements for PII handling.

  • Optimize query performance and pipeline efficiency for large-scale, high-volume banking data.

  • Maintain clear documentation of data lineage, transformations, and business rules for audit readiness.


CORE ACCOUNTABILITIES AND DELIVERABLES

  • Build and maintain reliable data pipelines to extract, transform, and load data from multiple banking systems into curated, analysis-ready datasets.

  • Ensure data quality, integrity, and compliance with governance standards, including secure handling of PII and audit-ready documentation.

  • Optimize SQL queries and Python workflows for performance and scalability across large, complex datasets.

  • Deliver automated ETL processes, data marts, and clear documentation to enable analytics, credit scoring, and reporting teams.


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