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Data Engineering Lead Analyst

GoKazini Kenya Full-time Posted 2026-09-07
CountyNairobi CountyCityNot specifiedContractFull-timePosted2026-09-07Close dateNot specifiedExperience5 yearsSourceGoKaziniSalaryEst. KES 250,000 – 400,000/mo
data engineeringlead analystSQL ServerT-SQLSSISETLNairobifull timeon-sitemid-leveldata engineeringlead analyst
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AI summary

Mid-level Data Engineering Lead Analyst role based in Nairobi, Kenya, offering an estimated salary of KES 250,000–400,000 per month on a full-time, on-site basis. The position focuses on developing and supporting SQL Server solutions, including T-SQL, SSIS-based ETL routines, and performance tuning within OLAP and OLTP environments. Candidates should have at least five years of relevant experience and strong problem-solving skills, ideally working within Agile development methodologies.

  • Mid-level data engineering role in Nairobi, Kenya
  • Estimated salary KES 250,000–400,000 per month
  • Full-time, on-site position
  • Requires minimum 5 years’ SQL Server experience
  • Focus on T-SQL, SSIS ETL, and query optimization
  • Experience with OLAP and OLTP environments expected
  • Agile development methodology experience required

AI job guide

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AI salary guide

Source salary available

The source lists Est. KES 250,000 – 400,000/mo. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.

Can you qualify for this role?

  • Required5+ years of relevant experienceThe job post includes a minimum experience signal.
  • PreferredPractical evidence in data engineering, lead analyst, database developmentThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
  • UnclearComfort with the Full-time contract termsConfirm hours, duration, probation and benefits at the original source.

Documents to prepare

  • Likely requiredUpdated CV
  • Role specificCover letter or short employer message
  • OptionalProfessional references
  • VerifyID or passport only after verifying the employer

Application tips for this job

  • Place your strongest Data Engineering Lead Analyst evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to GoKazini and the role in Not specified.
  • Add concrete examples related to data engineering, lead analyst, database development, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from GoKazini; avoid sending documents to unofficial contacts or copied links.
  • Confirm the deadline, interview location and employer contact before sharing personal documents.

Source and safety check

  • GoKazini
  • Original source link available
  • Application method is clear
  • Deadline not specified
  • No major risk signal was detected in the captured text.

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Interview preparation

  • What experience makes you a strong fit for this Data Engineering Lead Analyst role in data engineering, lead analyst?
  • How have you handled responsibilities similar to those in this job post?
  • Are you available to work in Not specified under the listed contract or schedule?
  • Prepare examples with clear responsibilities, tools used and measurable outcomes.
  • Review the source and research GoKazini before the interview.

Ask what the first priorities will be in the role and how success will be measured.

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Original source description

  • Back to all jobs
  • CH
  • Data Engineering Lead Analyst
  • Members only
  • Nairobi, Nairobi Municipality, Kenya
  • Est. KES 250,000 – 400,000/mo
  • Est.
  • On-site
  • Full-time
  • Mid-level
  • Posted
  • today
  • Share
  • What you bring
  • Essential Skills
  • Minimum of 5 years'

Experience

  • in developing and supporting SQL Server solutions.
  • Expertise in T-SQL, including writing complex stored procedures, views and functions.
  • Strong understanding of database concepts and
  • with query optimization and performance tuning.
  • of developing ETL routines utilising SSIS.
  • Knowledge and
  • of OLAP and OLTP environments.
  • Excellent problem-solving skills and a flair for reverse engineering complex code.
  • working with Agile development methodologies.
  • Highly Desirable
Source and provenanceSource: GoKazini. Last checked: 2026-09-27.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.