Data Engineer (Hospitality) – Nairobi

About the role

A client of Summit Recruitment & Search is looking for a highly skilled and analytical Data Engineer to join its team in Nairobi. The role is responsible for designing, building and maintaining the organisation's data infrastructure to support Business Intelligence (BI) and analytics across all departments, turning data from operational and financial systems into dashboards and analytical tools used by property teams and leadership.

Key responsibilities

• Design, build and maintain ETL/ELT pipelines across PMS, POS, CRM, procurement, HR and financial systems
• Develop and optimise data models (star/snowflake schemas) and maintain the data warehouse or data lake
• Ingest, clean, validate and monitor data quality across all datasets
• Build and improve BI dashboards and reports in Power BI, Tableau, Looker or Qlik
• Translate business questions into BI requirements with accurate SQL/DAX logic
• Work with Finance, Operations, Commercial, HR and Technology teams to deliver technical solutions
• Create reusable data assets such as semantic layers, data marts, feature stores and master datasets
• Document data flows, transformation logic and architecture, and maintain a data catalogue
• Ensure data governance, security compliance and metadata management best practices
• Automate repetitive data tasks and continuously improve BI and analytics systems

Required profile

• Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field
• At least 5 years' experience in data engineering, BI development or backend data architecture
• Experience managing master datasets and integrating data across multiple operational systems
• Strong analytical skills and excellent documentation skills

Required skills

• ETL/ELT pipeline design and modern data warehousing technologies
• SQL, Python and dimensional modelling
• Power BI, Tableau, Looker or Qlik
• SQL and NoSQL databases and cloud data environments
• Data catalogues, data lineage and governance frameworks