Senior Data Engineer

• Design, migrate and implement modern cloud-native data platforms using Microsoft Fabric and similar platforms.
  
• Help organizations modernize legacy data estates and accelerate data-driven transformation.
  
• Work in complex, fast-paced environments with strong learning, mentoring and development opportunities.
  
• Contribute to client-facing data engineering solutions for the financial services industry.
  
• Coordinate with internal and external stakeholders, ensuring timely and high-quality project delivery;
  
• Drive best practices in data architecture, governance, quality, security and scalability.
  

Responsibilities:

• Design, develop and maintain enterprise-grade data platforms utilizing Microsoft Fabric and related technologies.
  
• Design and implement Medallion Architecture (Bronze, Silver, and Gold) for support scalable and governed analytics solutions.
  
• Build, optimize and maintain end-to-end data pipelines covering all stages of the data lifecycle: Data ingestion; Data transformation; Data orchestration; Data storage; Data quality and monitoring; Data modeling; Analytics and reporting enablement
  
• Lead or contribute to Azure Data Factory (ADF) to Microsoft Fabric migration initiatives.
  
• Develop solutions using Fabric Data Factory OneLake, Lakehouse, Data Warehouse, Notebooks, Semantic Models, and Power BI.
  
• Design scalable ETL/ELT processes and data models supporting enterprise reporting, analytics, and AI use cases.
  
• Implement best practices in data governance, security, quality, lineage, and monitoring.
  
• Collaborate with consultants, engineers, product owners, and client stakeholders in agile environments.
  
• Document technical designs and communicate architecture decisions effectively.
  
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Engineering, or a related field.
  
• Professional proficiency in English.
  
  

Requirements:

• Fluency in English (mandatory);
  
• 5+ years of experience in Data Engineering, Data Platform Development, or Data Architecture.
  
• Proven hands-on experience with Microsoft Fabric across the end-to-end data lifecycle.
  
• Minimum 2 years of practical Microsoft Fabric experience.
  
• Proven implementation of Medallion Architecture in production environments.
  
• Experience with Lakehouse, Warehouse, Data Factory, and Power BI Semantic Models.
  
• Strong SQL and Python skills.
  
• Experience developing scalable ETL/ELT pipelines.
  
• Experience with Apache Spark, Delta Lake, and modern cloud data architectures.
  
• Strong understanding of data modeling and dimensional modeling concepts.
  
• Experience implementing data governance, security, and data quality frameworks.
  
• Familiarity with Azure cloud services and enterprise architecture principles.
  
• Experience working in agile delivery environments.
  
• Excellent analytical, problem-solving, and communication skills.
  

Key Screening Criteria

• Describe a full Azure Data Factory to Microsoft Fabric migration you delivered, including how you redesigned ingestion, transformed data through Bronze/Silver/Gold layers, managed governance, and exposed the data through Power BI.
  

Diferentials:

• Microsoft Fabric Analytics Engineer Associate (DP-700) certification.
  
• Experience with Databricks, Snowflake, Azure Synapse Analytics, Azure Data Lake Storage, or Azure SQL.
  
• Experience supporting analytics, AI, or machine learning workloads.
  
• Experience within financial services, consulting, or other regulated industries.
  
• Familiarity with CI/CD, DataOps, and DevOps practices.
  
• Experience with Microsoft Purview.
  
• Experience mentoring junior engineers or leading technical workstreams.
  
• Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or ARM Templates.
  

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.