Our client is seeking a highly skilled and analytical Data Engineer to join their team in Nairobi.

The successful candidate will be responsible for designing, building, and maintaining the organisation’s data infrastructure to support high-quality Business Intelligence (BI) and analytics across all departments. He/She will ensure that data from operational and financial systems is reliably captured, cleaned, structured, and transformed into intuitive dashboards and analytical tools that empower data-driven decision-making across the group’s properties and leadership teams.

Key Responsibilities.

• Design, build, and maintain ETL/ELT data pipelines across multiple systems (PMS, POS, CRM, procurement, HR, financial systems).
• Develop and optimise data models (star/snowflake schemas) and maintain the data warehouse/data lake as the organisation’s single source of truth.
• Ingest, clean, validate, and monitor data quality, ensuring consistency, completeness, and reliability across all datasets.
• Build and enhance BI dashboards and reports (Power BI, Tableau, Looker, Qlik) that are user-friendly, commercially relevant, and visually intuitive.
• Translate business questions into BI requirements, ensuring accurate SQL/DAX logic and consistently applied data definitions.
• Collaborate with Finance, Operations, Commercial, HR, and Technology teams to understand data needs and deliver actionable technical solutions.
• Create reusable data assets such as semantic layers, data marts, feature stores, and validated master datasets.
• Document data flows, transformation logic, system architecture, and maintain an updated data catalogue.
• Ensure data governance, security compliance, and implement best practices for metadata management.
• Automate repetitive data tasks, identify improvement opportunities, and drive continuous enhancement of BI and analytics systems.

Key Qualifications.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum of 5 years’ experience in data engineering, BI development, or backend data architecture roles.
• Strong experience designing ETL/ELT pipelines and working with modern data warehousing technologies.
• Proficiency in SQL, Python, and data modelling concepts (dimensional modelling, semantic layers).
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Qlik.
• Strong understanding of database systems (SQL & NoSQL) and cloud data environments.
• Experience managing master datasets and integrating data across multiple operational systems.
• Excellent analytical skills with the ability to translate business needs into technical solutions.
• Strong documentation skills and familiarity with data catalogues, data lineage, and governance frameworks.
• Experience working with automation, process optimisation, and workflow efficiencies.

Summit Recruitment and Search Africa is a leading Recruitment and Executive Search agency headquartered in Kenya providing outstanding talent to a wide range of companies and NGOs in various business sectors across Africa.

We endeavour to make contact with all of our applicants, but unfortunately, high volumes of applications make this unrealistic. If you do not hear from us within two weeks your application has not been successful on this occasion. This does not mean you will not be considered for future roles so please keep an eye on our job board and apply for positions that match your skills and experience.

Summit Recruitment and search Africa upholds a steadfast commitment to sustainability, inclusivity, and equality as integral pillars of our operations. Dedicated to driving positive change through the adoption of sustainable practices that minimize our ecological footprint. We firmly believe in fostering an inclusive and diverse workforce that embraces individuals from all races, genders, and backgrounds, ensuring equal opportunities for every candidate. Summit recruitment actively advocate for equality by cultivating an environment of respect, fairness, and non-discrimination. By prioritizing sustainability, inclusivity, and equality, we aim to set a high industry standard and contribute to the betterment of society as a whole.

*** Summit Recruitment & Search, as a policy, does not charge any fee as a pre-employment or post-employment requirement***

• Design, build, and maintain ETL/ELT data pipelines across multiple systems (PMS, POS, CRM, procurement, HR, financial systems).
• Develop and optimise data models (star/snowflake schemas) and maintain the data warehouse/data lake as the organisation’s single source of truth.
• Ingest, clean, validate, and monitor data quality, ensuring consistency, completeness, and reliability across all datasets.
• Build and enhance BI dashboards and reports (Power BI, Tableau, Looker, Qlik) that are user-friendly, commercially relevant, and visually intuitive.
• Translate business questions into BI requirements, ensuring accurate SQL/DAX logic and consistently applied data definitions.
• Collaborate with Finance, Operations, Commercial, HR, and Technology teams to understand data needs and deliver actionable technical solutions.
• Create reusable data assets such as semantic layers, data marts, feature stores, and validated master datasets.
• Document data flows, transformation logic, system architecture, and maintain an updated data catalogue.
• Ensure data governance, security compliance, and implement best practices for metadata management.
• Automate repetitive data tasks, identify improvement opportunities, and drive continuous enhancement of BI and analytics systems.

• SQL
• Python
• Data Modelling (dimensional modelling, semantic layers)
• Power BI
• Tableau
• Looker
• Qlik
• Database systems (SQL & NoSQL)
• Cloud data environments
• Data governance
• Metadata management
• Automation
• Process optimisation

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum of 5 years’ experience in data engineering, BI development, or backend data architecture roles.
• Strong experience designing ETL/ELT pipelines and working with modern data warehousing technologies.
• Proficiency in SQL, Python, and data modelling concepts (dimensional modelling, semantic layers).
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Qlik.
• Strong understanding of database systems (SQL & NoSQL) and cloud data environments.
• Experience managing master datasets and integrating data across multiple operational systems.
• Excellent analytical skills with the ability to translate business needs into technical solutions.
• Strong documentation skills and familiarity with data catalogues, data lineage, and governance frameworks.
• Experience working with automation, process optimisation, and workflow efficiencies.