Data Engineer
AI job insight
Co-operative Bank is hiring a mid-level Data Engineer to design and maintain batch, streaming and real-time data pipelines, build data products for analytics and AI, and ensure data quality and security in Nairobi. This full-time, on-site role requires a relevant bachelor's degree and at least four years of data engineering experience.
- Mid-level full-time on-site role at Co-operative Bank in Nairobi
- Design, build and maintain batch, streaming and real-time data pipelines
- Support analytics, business intelligence, AI and generative AI data needs
Similar jobs
More roles you may want to review before you leave.AI summary
Co-operative Bank is hiring a mid-level Data Engineer to design and maintain batch, streaming and real-time data pipelines, build data products for analytics and AI, and ensure data quality and security in Nairobi. This full-time, on-site role requires a relevant bachelor's degree and at least four years of data engineering experience.
- Mid-level full-time on-site role at Co-operative Bank in Nairobi
- Design, build and maintain batch, streaming and real-time data pipelines
- Support analytics, business intelligence, AI and generative AI data needs
- Requires bachelor's degree and at least 4 years data engineering experience
- Deadline to apply is 09/11/2026
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Open. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required4+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, Data Engineering, Data AnalyticsThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Co-operative Bank and the role in Nairobi.
- Add concrete examples related to security, Data Engineering, Data Analytics, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-11-09.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-11-09
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Engineer role in security, Data Engineering?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Co-operative Bank before the interview.
Ask what the first priorities will be in the role and how success will be measured.
Similar jobs to consider
Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
Job Title: Data Engineer
Date Posted: 27/10/2026
Job Type: Full Time
Job Level: Middle
Employer: Co-operative Bank
Industry: IT
Salary: Open
Location: Nairobi
Country: Kenya
Deadline: 09/11/2026
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.