Mid-level Jobs in Ongata Rongai, Kenya

324 jobs found

Equity Bank Kenya

Lead Data Engineer

Nairobi

Kenya

Closed for applications
KCB Group

Manager, Cyber Security Audit

Nairobi

Kenya

Closed for applications
University of Nairobi

Blockchain Technology Track Mentor / Facilitator, Kenya

Nairobi

Kenya

Closed for applications
International Rescue Committee

Data Analytics Engineer

Nairobi

Kenya

Closed for applications
Ericsson kenya

ESB System Expert

Nairobi

Kenya

Closed for applications
Tatu City

Telecoms Design Engineer

Nairobi

Kenya

Closed for applications
BURHANI ENGINEERS

Foreman, Electrical Services

Nairobi

Kenya

Closed for applications
West Indian Ocean Cable Company ( WIOCC)

IT & Systems Engineer (NetSuite)

Nairobi

Kenya

Closed for applications
Equity Bank Kenya

Angular Developer

Nairobi

Kenya

Closed for applications

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Braeburn Schools

Teacher of English & Literature on 50% Timetable

Nairobi

Kenya

Closed for applications

Country / Region

Profession (Mid-level)

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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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