Job particulars
- Job title
- Data Engineer
- Hiring organisation
- s Expand Recruitment Services
- Location
- Nairobi, Kenya
- Employment type
- Full-time
- Work arrangement
- On-site
- Industry
- IT
- Level
- Middle
- Posted
- 27 Oct 2026
- Closing date
- 9 Nov 2026
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.
Candidate requirements
- 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.
Ready to apply?
Start ApplicationCandidate safety
Never pay an employer or recruiter for a job offer. Review the application instructions after signing in and report suspicious vacancies to Kebarick.
Hiring organisation
s Expand Recruitment Services