# Data Engineer Job Co-operative Bank

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Company: Co-operative Bank

Category: Banking & Financial Services

Location: Kenya

Work type: Full-time

Work arrangement: On-site

Published: 2026-10-27

Expires: 2026-12-11

## Job Description

IT Jobs, Co-operative Bank Jobs. Responsible for designing and maintaining data pipelines, managing databases, ensuring data quality, and supporting analytics and reporting to improve business decision-making. Requires a degree in Computer Science, Information Technology, Data Science, or a related field. This is a full-time, on-site position based in Nairobi

### Key Responsibilities

### Specifically, the successful jobholder will be required to

- Design, develop, test and maintain batch, streaming and real-time data pipelines that integrate data from approved source systems into the Bank’s data and AI platforms.

- Build reusable, well-structured data products and feature sets that support business intelligence, analytics, AI solutions and informed decision-making.

- Implement data quality controls, reconciliation, metadata, lineage and monitoring mechanisms to ensure data accuracy, completeness, consistency and timeliness.

- Apply data security, privacy, access controls, encryption and retention requirements in line with the Data Protection Act, 2019, and the Bank’s policies and standards.

- Optimise data pipelines for performance, reliability, scalability and cost, ensuring effective recovery, auditability and operational resilience.

- Collaborate with cross-functional teams and business data owners to translate business requirements into fit-for-purpose datasets and data solutions.

- Integrate automated testing, source control and CI/CD practices into data engineering workflows, supporting deployments across development, testing and production environments.

- Monitor production pipelines, troubleshoot incidents, resolve defects and maintain technical documentation and operating procedures.

- Develop data ingestion and processing pipelines for unstructured data, including documents, text and voice, to support generative AI applications and technologies such as vector databases.

Qualifications

### The successful candidate will be required to have the following skills and competencies

- A bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics or a related field.

- At least four (4) years of relevant experience in data engineering, ETL/ELT development, database engineering or big-data implementation.

- Hands-on experience building and supporting production data pipelines and curated analytical datasets.

- Strong proficiency in SQL and Python, Scala or comparable programming languages.

- Professional certification in data engineering, cloud data platforms, databases or analytics will be an added advantage.

- Experience in banking, financial services or another regulated data environment will be an added advantage.

### How to Apply

Click here to apply

## Apply

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