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Senior Data Engineer
Strathmore University
Nairobi, Kenya
Permanent
Published 1 month ago · Expires 4 weeks from now
Job description
## Title: Senior Data Engineer
About the Role
Strathmore University is seeking a Senior Data Engineer to design, build, and maintain robust data infrastructure and pipelines. You will be responsible for implementing data ingestion frameworks and ensuring data systems support organizational objectives across multiple data sources and use cases.
Key Responsibilities
Data Pipeline Design and Implementation
- Design, implement, and maintain robust data ingestion and processing pipelines for heterogeneous data sources, including soil, weather, agronomic, geospatial, and related contextual datasets
- Develop scalable ETL/ELT workflows to transform raw data into structured, validated, and analytics-ready formats
- Ensure pipelines support both batch and near-real-time data processing where required
- Implement data versioning and lineage tracking to support reproducibility and auditability
Cloud-Based Data Infrastructure
- Design and manage cloud-native data architectures, including data lakes, data warehouses, and analytical storage solutions
- Optimize data storage and processing for performance, cost efficiency, and scalability
- Support deployment of data pipelines across development, testing, and pilot environments
- Collaborate with platform teams to ensure infrastructure aligns with DPI principles and interoperability standards
Data Quality, Governance, and Reliability
- Implement automated data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and consistency
- Support enforcement of data governance requirements, including access controls, permissions, and audit logging
- Work with policy and governance partners to ensure technical implementations align with data protection and consent frameworks
- Proactively identify and remediate data reliability risks or bottlenecks
AI and LLM-Based Systems Enablement
- Prepare and serve data in formats optimized for AI and LLM-based advisory systems, including retrieval-augmented generation (RAG) pipelines and structured knowledge services
Location
Nairobi, Kenya