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About the Team and Role
We are looking for ahands-on Senior Data Engineerwith strongdata mapping and integrationexpertiseto join ourinternationaldata engineering function. This role combines deep technical delivery with upstream data analysis and mapping, helping ensure that complex source data is accurately modelled, integrated, and made available to downstream consumers in a consistent and governed way.
You will work at the intersection ofdata mapping, data engineering, and data management, collaborating closely with business stakeholders, data analysts, product teams, and other engineersacross multipletimezones. The role plays a key part in deliveringhigh‑quality,well‑governeddata solutions that underpin digital channels, analytics, and operational reporting.
Key Responsibilities
Data Mapping & Analysis
Own and deliversource‑to‑targetdata mappingsfor inbound and outbound data flows aligned to the enterprise common data model
Work with business and technical stakeholders togather, evaluate,validate, and document data requirements
Plan andfacilitatemapping workshops, including preparation, gap analysis,follow‑ups, and incorporation of change requests
Performimpact analysison data model and mapping changes andmaintainmapping documentation and metadata
Validate mapping outcomes using SQL queries and provide data quality feedback and metrics
Act as a bridge betweendata engineering, data governance, and business teams
Data Engineering & Integration
Design, develop, and maintainETL / ELT processessupporting both project delivery andbusiness‑as‑usualworkloads
Develop and enhance data pipelines usingSQL, SSIS, and/or modern cloud-based tooling
Monitor and support production data processes, including batch runs, releases, and issue resolution
Troubleshoot complex data and performance issues within relational database environments
Contribute to improvements incode quality, performance, tooling, and ways of working
Support and evolve data integration patterns as the platform moves towardscloud‑nativesolutions
Collaboration & Governance
Work withinAgile delivery teams, contributing to planning, estimation, and delivery
Maintain strong stakeholder relationships and communicate clearly on progress, risks, and dependencies
Ensure solutions adhere todata governance, security, and quality standards
Contribute to the continual improvement of data management and data engineering practices
Essential Skills and Experience
Minimum 5yearsexperienceindata engineering and data integrationroles
Proven experience deliveringdata mapping /source‑to‑targetmappingsagainst a common data model
AdvancedSQLskills, including complex queries, views, stored procedures, and performance tuning
Experience building and supportingETL processes
Solid understanding ofrelational data models, OLTP and OLAP environments
Experience working inAgile teamsand collaborating withcross‑functionalstakeholders
Excellent analytical,problem‑solving, and communication skills
Ability to work independently, manage multiple priorities, and see work throughend‑to‑end
Desirable / Nice to Have
Experience withcloud platforms(AWS and/or Azure)
Python, Databricks, or modern data engineering frameworks
Experience withmetadata or data management tools(e.g. Collibra or similar)
Knowledge of source control (Git) and CI/CD pipelines
Experience across SQL Server, Oracle, and/or Postgres
Exposure toAI‑assisteddevelopment or data tooling
Experience in regulated ordata‑intensiveindustries (e.g. healthcare, insurance, financial services)
The PersonWe’reLooking For
A proactive,detail‑orientedengineer who enjoys workingfrom requirements through to production
Comfortable operating betweenbusiness language and technical implementation
Confident facilitating workshops and influencing stakeholders
Passionate about data quality, structure, and doing things the “right way”
Curious, adaptable, and keen to grow with evolving data platforms
About The Cigna Group
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