Data Engineering Advisor
AI summary
Cigna is hiring a Data Engineering Advisor in Nairobi to lead the design, development, and support of complex data integration and ETL solutions within its International Health Delivery Services organization. The role requires deep SQL Server expertise, technical leadership, and experience with modern data engineering tools. The position is full-time and based in Nairobi, Kenya.
- Senior technical leadership role in data engineering and ETL solutions
- Requires 8+ years of data solutions experience and 5+ years in SQL Server
- Opportunity to work with modern tools like PySpark, Databricks, and AI-assisted development
- Full-time position with a global health services company in Nairobi
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?
- Required8+ 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 Advisor 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 Advisor 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 Senior Developer within the team, you will provide expert technical leadership on the design, development, and support of our data integration and ETL solutions. Drawing on deep SQL Server expertise, you will act as a principal designer for complex data solutions, help define the standards and practices for how our solutions are built, and take ownership of resolving complex issues to keep business-critical data flowing reliably. You will be encouraged to contribute your own ideas and expertise, and to keep your skills up to date through training and learning.
You will engage with teams across a range of technical disciplines and geographies. Recognised internally as a subject matter expert, you will provide thought leadership within Data Engineering while contributing to broader initiatives that require an understanding of the wider business.
Core
Responsibilities
- Act as the principal designer and technical lead for complex data initiatives.
- Design, develop, document, test, and support ETL processes and data integration solutions.
- Troubleshoot and resolve complex SQL Server-related issues.
- Model and document data mapping solutions, collaborating with business and technical teams to agree the best approach.
- Support regular releases and monitor scheduled data processing batches.
- Proactively suggest improvements to code, tools, and ways of working.
- Essential Skills
- 8+ years
Experience
- delivering data solutions, with a minimum of 5 years
- in Microsoft SQL Server development and support.
- providing technical leadership and mentoring to others
- Advanced T-SQL skills, including development and optimization of stored procedures, views, and functions.
- Strong understanding of database design, data modelling, query optimization, and performance tuning.
- developing and supporting ETL solutions using SQL Server Integration Services (SSIS).
- Knowledge of OLTP and OLAP database environments.
- analysing business
- with source control and CI/CD pipelines for database development and deployment.
- Strong troubleshooting, root cause analysis, and problem resolution skills.
- working with Agile methodologies.
- Highly Desirable
- with C# and Python.
- with modern data engineering technologies, including PySpark and Databricks.
- working with cloud technologies and services.
- with AI-assisted development tools such as GitHub Copilot, Cursor AI, or similar technologies.
- working with health insurance or healthcare data.
Requirements
and translating them into technical solutions.