Data Engineering Lead Analyst
AI summary
Cigna's International Health Data Engineering team in Nairobi is hiring a Lead Analyst to design, develop, and maintain ETL processes and data integration solutions for the Data Integration Hub. The role involves SQL Server, T-SQL, SSIS, and cross-team collaboration in an Agile environment.
- Lead data engineering role within Cigna's International Health Delivery Services
- Focus on ETL, SQL Server, T-SQL, and SSIS development
- Minimum 5 years' SQL Server experience required
- Agile development environment with cross-team collaboration
- Exposure to C# and Python is highly desirable
AI job guide
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AI salary guide
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Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in sales, hospitality, internshipThe 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 Cigna and the role in Not specified.
- Add concrete examples related to sales, hospitality, internship, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Mimus Jobs Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-12-17.
Source and safety check
- Mimus Jobs Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-12-17
- 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 sales, hospitality?
- 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 Cigna 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
D
Data Engineering Lead Analyst
Jobs Kenya
Full Time
Nairobi
Nairobi
Deadline:
17 December 2026
Posted
September 22, 2026
The Position
The International Health Data Engineering team sits at the heart of the International Health Delivery Services organization and is responsible for Cigna’s Data Integration Hub, which ingests data from multiple sources, including all the policy admin systems, and makes it available to numerous downstream consumers. The team is central to provisioning the data behind a range of key initiatives, including all the web portals and multiple integrations, both internal and external.
As a member of this team, you will contribute to the development and maintenance of our existing systems, as well as establishing how our data-driven solutions are developed and coded. You will be encouraged to contribute your own ideas and expertise, as well as to keep your skills up to date through training and learning.
You will have the opportunity to engage with multiple teams across a number of different technological disciplines and geographical locations.
Core
Responsibilities
- Support the design, development, testing, and maintenance of ETL processes and data integration solutions.
- Troubleshoot and help resolve SQL Server-related issues.
- Work closely with senior database developers to document requirements, design technical solutions, and attend project workshops and meetings.
- Develop changes in T-SQL and SSIS for both “business as usual” and project work streams.
- Model and document data mapping solutions, working with business and technical teams to decide on the best approach.
- Assist with regular releases and monitor scheduled data processing batches.
- Proactively suggest improvements to code, tools, and ways of working.
- 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
- Exposure to Cand Python.
- Familiarity with modern data engineering technologies, such as PySpark and Databricks.
- Basic
- with cloud technologies and services.
- Exposure to source control (e.g. Git) and CI/CD practices.
- Exposure to AI-assisted development tools such as GitHub Copilot, Cursor AI, or similar technologies.
- working with health insurance or healthcare data.
- Qualifications
- BA/BSc/HND
- Required
- 5 years
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