Data Engineering Lead Analyst
AI summary
Cigna is hiring a Data Engineering Lead Analyst in Nairobi to support its International Health Data Engineering team. The role focuses on designing, developing, and maintaining ETL processes, SQL Server solutions, and data integration systems that power key health initiatives. Candidates should bring strong T-SQL, SSIS, and database optimization skills, with exposure to modern data engineering tools considered a plus.
- Lead-level data engineering role within Cigna's International Health Delivery Services organization
- Focus on SQL Server, T-SQL, SSIS, and ETL/data integration solutions
- Opportunity to work across multiple teams, technologies, and geographies
- Values proactive improvement, Agile ways of working, and continuous learning
- Exposure to PySpark, Databricks, cloud services, and AI-assisted development tools is desirable
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required5+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in internship, entregador, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe 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 Nairobi.
- Add concrete examples related to internship, entregador, technology, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Engineering Lead Analyst role in internship, entregador?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi 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
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 C# and 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.