Location: Lagos
Employment Type: Full-time (Hybrid)
Job Summary
- The Data & Analytics Engineering function is responsible for building and maintaining the data pipelines, models, and platforms that power the Enterprise Data Warehouse (EDW) and business intelligence initiatives.
- This role combines data engineering and analytics engineering to ensure that high-quality, well-modeled, and timely data is available for reporting, advanced analytics, and actuarial IFRS17 Reporting.
Responsibilities
Data Engineering:
- Maintain the Enterprise Data Warehouse (EDW) as a trusted single source of truth to support analytics, reporting, and advanced modeling.
- Design, build, and optimize ETL/ELT pipelines using Python, dbt, and Airflow for orchestration.
- Collect and load structured and unstructured data from internal and external systems.
- Manage the organization-wide data collection process for IFRS17, automating inputs from data stewards and producing monthly outputs for actuarial evaluations.
- Design and optimize dbt models, transforming raw data into analytics-ready datasets.
- Ensure data quality, accuracy, and integrity across all pipelines and reporting systems.
- Analyze the organization’s data maturity level, uncover gaps, and recommend improvements.
- Continually assess data quality, clean dirty data and raise concerns over gaps with closure recommendations
- Implement best practices for data governance, model testing, validation, and documentation.
- Ensure proper version control and CI/CD workflows using Git and Azure DevOps.
- Collaborate with analysts, actuaries, and business stakeholders to deliver actionable insights.
- Uphold data security and governance in collaboration with DBAs and system administrators.
- Assess new and existing data systems and continually uncover gaps to improve data maturity
Analytics Engineering:
- Develop, maintain, and optimize dbt models with tests, documentation, and version control.
- Translate business requirements into scalable data models that serve analytics and reporting needs.
- Support incremental data refreshes transformation logic to improve automation and scalability.
- Continuously monitor and troubleshoot data workflows within the warehouse for improvement.
- Create Machine learning models for predictive analytics
- Collaborate with business units to define KPIs, use cases, and reporting needs.
- Support the development of BI solutions using SSRS, SSIS, and SSAS.
- Enable Data Analysts and business stakeholders by providing well-structured, analytics-ready datasets.
- Provide technical guidance for predictive analytics and advanced statistical modeling.
- Supply Data models and insightful knowledge base to the AI system.
Requirements
- HND / B.Sc Degree in Computer Science or any related discipline.
- Knowledge of SQL & Python is an added advantage
- Minimum of 3 - 4 years experience.
Application Closing Date
3rd November, 2026.
Interested and qualified candidates should:
Click here to apply online
