Insurance Collections Coordinator
AIR Seguros
Manage life and major medical insurance accounts for AIR, overseeing collections, payments, renewals, and client and insurer relationships.
Open
Senior Data Engineer – Microsoft Fabric
Build Microsoft Fabric pipelines, data warehouses, and ETL/ELT solutions for consulting clients. Help strengthen their business intelligence and analytics capabilities.
Description
- Design and maintain data pipelines with Microsoft Fabric Data Factory.
- Develop data warehouses for reporting and analytics.
- Create and optimise ETL/ELT processes for extracting, transforming, and loading data.
- Connect data from multiple sources while maintaining its quality, consistency, and reliability.
- Apply SQL and data modelling to support efficient data processing and storage.
- Develop and optimise data solutions in Microsoft Fabric.
- Work with BI developers and colleagues on reporting and analytics initiatives.
- Diagnose pipeline and warehouse issues and improve performance.
- Document data processes, pipeline configurations, and technical solutions.
- Apply sound practices for data quality, governance, and solution maintenance.
- Take part in a business alignment call, client interview, and project-specific technical assessment when required.
Requirements
- Bring at least five years of relevant experience in data engineering, data integration, or a similar role.
- Have practical experience with Microsoft Fabric, especially Data Factory and Data Warehouse.
- Know SQL, data transformation, and ETL/ELT processes.
- Understand data modelling, relational databases, and data warehousing concepts.
- Have experience developing and maintaining data pipelines.
- Be familiar with data quality checks, troubleshooting, and performance optimisation.
- Work effectively with a growing data and BI team.
- Bring strong analytical, problem-solving, and communication skills.
- Microsoft Fabric or other relevant Microsoft data certifications are desirable.
- Experience with Power BI and data models for reporting and analytics is desirable.
- Familiarity with Microsoft Azure data services is desirable.
- Knowledge of data Lakehouse architecture and modern data platforms is desirable.
- Be able to work within CET ±3 hours.
- Pass Castille Vetting, including background and compliance checks.
Benefits
- Clear deliverables and a well-defined scope.
- Potential for repeat engagements based on performance.
- Access to customer experience guidance and market insights through the professional network.
- The initial six-month engagement may be extended.
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