Location<\/strong><\/td>\n| Lisbon, Lisboa, Portugal<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 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.<\/p>\n <\/p>\n We are looking for a Senior Data Engineer<\/strong> to join our growing Digital & AI practice in Portugal (Porto or Lisbon). The successful candidate will play a critical role in the support, maintenance, optimization, monitoring, and enhancement of enterprise data platforms of our clients built primarily on the Microsoft Azure data ecosystem.<\/p>\n<\/p>\n Description<\/strong><\/p>\n\n- Support enterprise-scale data integration and analytics platforms deployed across Azure environments.<\/li>\n
- Act as a key contributor in ensuring data platform stability, reliability, performance, and operational excellence.<\/li>\n
- Troubleshoot and resolve production incidents impacting business-critical reporting and analytics solutions.<\/li>\n
- Participate in modernization initiatives involving Azure Data Factory, Azure SQL Database, Microsoft Fabric (preferred) and related technologies.<\/li>\n
- Contribute to continuous improvement initiatives, automation efforts, and support process optimization.<\/li>\n
- Work alongside business stakeholders, data engineers, architects, consultants, and client teams in fast-paced international environments.<\/li>\n
- Support data-driven transformation initiatives within financial services and other regulated industries.<\/li>\n
- Contribute to client-facing data engineering solutions for the financial services industry.<\/li>\n
- Drive best practices in data architecture, governance, quality, security and scalability.<\/li>\n<\/ul>\n
<\/p>\n Responsibilities<\/strong><\/p>\n\n- Monitor and manage the Data Support inbox, acknowledging and prioritising requests promptly.<\/li>\n
- Log every issue as a ticket in Azure DevOps, keeping status, priority and resolution notes up to date.<\/li>\n
- Investigate and resolve production issues in Azure SQL Database, including failed jobs, performance problems, data quality issues and access requests.<\/li>\n
- Diagnose and fix Azure Data Factory (ADF) pipeline and\/or ETL\/ELT failures, reruns and dependency issues, and put fixes in place to stop them recurring.<\/li>\n
- Perform root cause analysis on recurring or high-impact incidents and recommend improvements.<\/li>\n
- Support downstream reporting in Microsoft Fabric and Power BI, tracing issues back to source data or pipelines.<\/li>\n
- Keep stakeholders informed during incidents, explaining the cause, impact and next steps in plain language.<\/li>\n
- Work with the wider Data and Technology teams on changes, releases and escalations.<\/li>\n
- Work independently with strong accountability for deliverables.<\/li>\n
- Stay up to date with Microsoft Fabric and similar platforms\u2019 capabilities, Azure technologies and modern data engineering practices.<\/li>\n<\/ul>\n
<\/p>\n Qualifications<\/strong><\/p>\n\n- Undergraduate degree in Computer Science, Engineering, Information Systems, Data Engineering, Mathematics, Statistics, or a related discipline.<\/li>\n
- Strong analytical, troubleshooting, and communication skills.<\/li>\n
- Ability to manage multiple priorities in a client-facing consulting environment.<\/li>\n
- Fluency in English at a proficient level (education or work experience in an English-speaking environment is a plus)<\/li>\n<\/ul>\n
<\/p>\n Requirements<\/strong><\/p>\n\n- Minimum 5 years of experience in Data Engineering, Data Integration, Data Platform Support, or Data Operations.<\/li>\n
- Proven experience supporting production data platforms in Azure.<\/li>\n
- Strong SQL and T-SQL skills, with hands-on experience in Azure SQL Database (troubleshooting, query tuning, stored procedures, security and permissions).<\/li>\n
- Practical experience building, monitoring and troubleshooting Azure Data Factory pipelines.<\/li>\n
- Working knowledge of Microsoft Fabric and Power BI.<\/li>\n
- Experience working with tickets and backlogs in Azure DevOps, or a similar tool.<\/li>\n
- Familiarity with Git, Azure DevOps, and CI\/CD deployment practices.<\/li>\n
- Excellent communication skills, with the ability to explain technical issues simply to non-technical colleagues.<\/li>\n
- Confident managing stakeholders, setting expectations and prioritising competing requests.<\/li>\n
- A methodical, ownership-driven approach to problem solving.<\/li>\n<\/ul>\n
<\/p>\n Preferred<\/strong><\/p>\n\n- Microsoft Certified: Azure Data Fundamentals (DP-900).<\/li>\n
- Experience with Power BI datasets, semantic models, and reporting integrations.<\/li>\n
- Familiarity with Infrastructure-as-Code tools such as Terraform, Bicep, or ARM Templates.<\/li>\n
- Exposure to financial services, consulting, banking, insurance, or regulated industries.<\/li>\n<\/ul>\n
<\/p>\n What We Offer<\/strong><\/p>\n\n- Fast-growing company with a presence in Porto, Lisbon, London, and Madrid.<\/li>\n
- Visa sponsorship and relocation support for candidates based outside Portugal or Spain.<\/li>\n
- Opportunity to work on complex and stimulating projects for sophisticated clients across the US and Europe.<\/li>\n
- Competitive salary and performance-based benefits.<\/li>\n
- Hybrid work model, with up to 50% remote work.<\/li>\n
- Career Development Plan tailored to your growth.<\/li>\n
- Internal and external Training Programs.<\/li>\n
- Sponsorship opportunities for certifications and advanced education.<\/li>\n<\/ul>\n
<\/p>\n At LGG Advisors, we are committed to building a diverse and inclusive workplace. All qualified applicants will be considered for employment regardless of race, gender identity, sexual orientation, religion, nationality, age or disability.<\/p>\n
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