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44 jobs found

Equity Bank Kenya

Lead Data Engineer

Nairobi

• Kenya

Closed for applications
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Mastercard

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Sama

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• Kenya

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Siemens

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Nairobi

• Kenya

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Zedcrest Group

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Lagos

• Nigeria

Closed for applications
KiliMax Software

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Nairobi

• Kenya

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SAFARICOM

Engineer- Regional Network Optimization

Nairobi

• Kenya

Closed for applications

Country / Region

KenyaNigeriaUganda

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Equity Bank Kenya

Banking + 2 more

Lead Data Engineer

Closed for applications
Nairobi • Kenya
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.


Tags
Information technology, software development, dataBanking, microfinance, insuranceMid-levelKenya

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