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Data Engineer – Nairobi

Summit Recruitment & Search · Nairobi

New
Senior 🇬🇧 English
ETL/ELT SQL Python Power BI Tableau Looker Qlik NoSQL Data modelling

Job description

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 successful candidate will design, build and maintain the organisation's data infrastructure to support Business Intelligence (BI) and analytics across all departments, turning data from operational and financial systems into reliable dashboards and analytical tools.

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/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
  • 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
  • Minimum 3 years' experience in data engineering, BI development or backend data architecture
  • Strong experience designing ETL/ELT pipelines and modern data warehousing
  • Experience managing master datasets and integrating data across multiple operational systems
  • Excellent analytical skills and strong documentation skills

Required skills

  • SQL and Python
  • Data modelling (dimensional modelling, semantic layers)
  • BI tools: Power BI, Tableau, Looker or Qlik
  • SQL and NoSQL databases and cloud data environments
  • Familiarity with data catalogues, data lineage and governance frameworks

Questions fréquentes

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Published 18 minutes ago

Expires 1 month from now

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Summit Recruitment & Search

Nairobi