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Senior Data Engineer
LGG Advisors
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted 2 days ago
About this role
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. We are looking for a Senior Data Engineer 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. 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. • Participate in modernization initiatives involving Azure Data Factory, Azure SQL Database, Microsoft Fabric (preferred) and related technologies. • Contribute to continuous improvement initiatives, automation efforts, and support process optimization. • Work alongside business stakeholders, data engineers, architects, consultants, and client teams in fast-paced international environments. • Support data-driven transformation initiatives within financial services and other regulated industries. • Contribute to client-facing data engineering solutions for the financial services industry. • Drive best practices in data architecture, governance, quality, security and scalability. Responsibilities • Monitor and manage the Data Support inbox, acknowledging and prioritising requests promptly. • Log every issue as a ticket in Azure DevOps, keeping status, priority and resolution notes up to date. • Investigate and resolve production issues in Azure SQL Database, including failed jobs, performance problems, data quality issues and access requests. • 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. • Perform root cause analysis on recurring or high-impact incidents and recommend improvements. • Support downstream reporting in Microsoft Fabric and Power BI, tracing issues back to source data or pipelines. • Keep stakeholders informed during incidents, explaining the cause, impact and next steps in plain language. • Work with the wider Data and Technology teams on changes, releases and escalations. • Work independently with strong accountability for deliverables. • Stay up to date with Microsoft Fabric and similar platforms’ capabilities, Azure technologies and modern data engineering practices. Qualifications • Undergraduate degree in Computer Science, Engineering, Information Systems, Data Engineering, Mathematics, Statistics, or a related discipline. • Strong analytical, troubleshooting, and communication skills. • Ability to manage multiple priorities in a client-facing consulting environment. • Fluency in English at a proficient level (education or work experience in an English-speaking environment is a plus) Requirements • Minimum 5 years of experience in Data Engineering, Data Integration, Data Platform Support, or Data Operations. • Proven experience supporting production data platforms in Azure. • Strong SQL and T-SQL skills, with hands-on experience in Azure SQL Database (troubleshooting, query tuning, stored procedures, security and permissions). • Practical experience building, monitoring and troubleshooting Azure Data Factory pipelines. • Working knowledge of Microsoft Fabric and Power BI. • Experience working with tickets and backlogs in Azure DevOps, or a similar tool. • Familiarity with Git, Azure DevOps, and CI/CD deployment practices. • Excellent communication skills, with the ability to explain technical issues simply to non-technical colleagues. • Confident managing stakeholders, setting expectations and prioritising competing requests. • A methodical, ownership-driven approach to problem solving. Preferred • Microsoft Certified: Azure Data Fundamentals (DP-900). • Experience with Power BI datasets, semantic models, and reporting integrations. • Familiarity with Infrastructure-as-Code tools such as Terraform, Bicep, or ARM Templates. • Exposure to financial services, consulting, banking, insurance, or regulated industries. What We Offer • Fast-growing company with a presence in Porto, Lisbon, London, and Madrid. • Visa sponsorship and relocation support for candidates based outside Portugal or Spain. • Opportunity to work on complex and stimulating projects for sophisticated clients across the US and Europe. • Competitive salary and performance-based benefits. • Hybrid work model, with up to 50% remote work. • Career Development Plan tailored to your growth. • Internal and external Training Programs. • Sponsorship opportunities for certifications and advanced education. 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.