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Senior Data Engineer – Microsoft Fabric

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AI Summary

Design, migrate, and implement modern cloud-native data platforms using Microsoft Fabric for financial sector clients. Build and optimize end-to-end data pipelines, Medallion Architecture, and scalable ETL/ELT processes. Requires 5+ years of data engineering experience with 2-3 years of hands-on Microsoft Fabric expertise.

Key Highlights
5+ years of experience in Data Engineering with 2-3 years of proven hands-on experience with Microsoft Fabric.
Proven implementation of Medallion Architecture (Bronze, Silver, Gold) in production environments.
Visa sponsorship and relocation support available for candidates based outside Portugal or Spain.
Key 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.
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.
Technical Skills Required
Microsoft Fabric SQL Python
Benefits & Perks
Visa sponsorship
Relocation support
Competitive salary and performance-based benefits
Hybrid work model – up to 50% remote
Career Development Plan
Internal and external Training Programs
Sponsorship opportunities for certifications and advanced education
Nice to Have
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

Job Description


Senior Data Engineer – Microsoft Fabric

Location: Porto or Lisbon, Portugal

Working Model: Remote initially, with relocation to Portugal

Visa Sponsorship: Available


About the job


An international consulting and technology firm, with offices in Porto, Lisbon, London, and Madrid, provides a multitude of high added-value consultancy and technological services to financial sector firms globally.


Our team provides an array of comprehensive services catering specifically to our clients' unique and evolving circumstances which require creative and careful consideration, decision-making, and guidance.


The company is looking to expand its Digital & AI team with a Senior Data Engineer who will work with clients in the design, implementation, modernization, and optimization of enterprise-scale data platforms.


This role is designed for a senior professional with 5+ years of experience who is ready to lead data engineering initiatives while contributing to complex client transformation programs.


Description

  • Design, migrate and implement modern cloud-native data platforms using Microsoft Fabric and similar platforms, accelerating 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.
  • 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.
  • 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

  • 5+ years of experience in Data Engineering, Data Platform Development, or Data Architecture.
  • Minimum 2–3 years' proven hands-on experience with Microsoft Fabric across the end-to-end data lifecycle.
  • Proven implementation of Medallion Architecture in production environments.
  • Experience delivering 2–3 similar Microsoft Fabric / modern data platform projects.
  • 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.


Differential

  • 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.
  • Remote working initially, with relocation to Porto or Lisbon required.
  • Hybrid work model – up to 50% remote.
  • Career Development Plan tailored to your growth.
  • Internal and external Training Programs.
  • Sponsorship opportunities for certifications and advanced education.



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