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Senior Data Engineer (Azure, Microsoft Fabric) - Porto/Lisbon

lgg advisors • Portugal
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Senior Data Engineer role supporting enterprise-scale Azure data platforms for financial clients. Focus on troubleshooting, optimization, and modernization of data pipelines, SQL databases, and analytics solutions. Requires 5+ years in Azure Data Engineering, SQL/T-SQL expertise, and strong incident management skills.

Key Highlights
Support and optimize enterprise-scale Azure data platforms for financial clients
Troubleshoot production incidents in Azure SQL Database and Azure Data Factory pipelines
Drive data platform stability, reliability, and operational excellence
Key Responsibilities
Monitor and resolve production incidents in Azure SQL Database and Azure Data Factory
Manage data support inbox and log issues in Azure DevOps
Collaborate with stakeholders to ensure data platform stability and performance
Participate in modernization initiatives involving Microsoft Fabric and Azure technologies
Technical Skills Required
Azure Data Engineering SQL/T-SQL Azure Data Factory
Benefits & Perks
Visa sponsorship and relocation support
Hybrid work model (up to 50% remote)
Competitive salary and performance-based benefits
Career Development Plan and training programs
Internal and external training opportunities
Nice to Have
Microsoft Certified: Azure Data Fundamentals (DP-900)
Experience with Power BI datasets and semantic models
Familiarity with Infrastructure-as-Code tools (Terraform, Bicep, ARM Templates)

Job Description

LGG Advisors, with offices in Porto, Lisbon, London, and Madrid, provides high added-value consultancy and technological services to financial sector firms globally. Our Digital & AI team helps clients modernize their data estates, optimize data platforms, and deliver scalable analytics solutions that support business growth and transformation.

Description

- Support enterprise-scale data integration and analytics platforms deployed across Azure environments.

- Act as a key contributor in ensuring data platform stability, reliability, performance, and operational excellence.

- Troubleshoot and resolve production incidents impacting business-critical reporting and analytics solutions.

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