• 
  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.