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Senior Data Engineer | Microsoft Fabric

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AI Summary

Design, build, and optimize enterprise-scale data platforms using Microsoft Fabric and Medallion Architecture for the financial services sector. Develop scalable ETL/ELT pipelines, data models, and governance frameworks using SQL, Python, and Azure cloud services. Requires a Bachelor's degree, 5+ years in Data Engineering, and 2+ years of hands-on experience with Microsoft Fabric.

Key Highlights
Focus on Microsoft Fabric and Medallion Architecture (Bronze, Silver, Gold) implementation.
Experience in the financial services sector with complex, regulated data environments.
Hybrid working model with up to 50% remote work and international relocation support.
Key Responsibilities
Design, develop, and maintain enterprise-grade data platforms using Microsoft Fabric and related technologies.
Design and implement Medallion Architecture (Bronze, Silver and Gold) to support scalable and governed analytics solutions.
Build, optimize, and maintain end-to-end data pipelines covering data ingestion, transformation, orchestration, storage, quality monitoring, modeling, 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 reporting, analytics, and AI-driven initiatives.
Implement best practices related to data governance, security, quality, lineage, and monitoring.
Collaborate closely with consultants, engineers, product owners, and client stakeholders within Agile environments.
Document technical solutions and effectively communicate architectural decisions.
Technical Skills Required
Microsoft Fabric SQL Python
Benefits & Perks
Hybrid working model with up to 50% remote work
Relocation and visa sponsorship support
Sponsorship for professional certifications and advanced education
Competitive compensation package and performance-related benefits
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
Exposure to Analytics, Artificial Intelligence, or Machine Learning initiatives
Previous experience within financial services, consulting, or other regulated environments
Knowledge of CI/CD, DataOps, and DevOps practices
Experience with Microsoft Purview
Experience mentoring junior engineers or leading technical workstreams
Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM Templates

Job Description


Adecco Permanent Recruitment is currently hiring a Data Engineer | Microsoft Fabric on behalf of a fast-growing international technology company delivering innovative data solutions to leading organizations across Europe and the United States.

This is an exciting opportunity to join a highly skilled team focused on designing and implementing modern cloud-native data platforms, helping clients accelerate their data-driven transformation journeys.


The Role: As a Data Engineer, you will play a key role in designing, building, and optimizing enterprise-scale data platforms leveraging Microsoft Fabric and related technologies. You will work on complex projects within the financial services sector, contributing to robust, scalable, and secure data solutions.


Key Responsibilities

  • Design, develop, and maintain enterprise-grade data platforms using Microsoft Fabric and related technologies.
  • Design and implement Medallion Architecture (Bronze, Silver and Gold) to support scalable and governed analytics solutions.
  • Build, optimize, and maintain end-to-end data pipelines covering data ingestion, transformation, orchestration, storage, quality monitoring, modeling, 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 reporting, analytics, and AI-driven initiatives.
  • Implement best practices related to data governance, security, quality, lineage, and monitoring.
  • Collaborate closely with consultants, engineers, product owners, and client stakeholders within Agile environments.
  • Document technical solutions and effectively communicate architectural decisions.


What We're Looking For

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data Engineering, or a related discipline.
  • Minimum of 5 years of experience in Data Engineering, Data Platform Development, or Data Architecture.
  • At least 2 years of proven hands-on experience working with Microsoft Fabric across the end-to-end data lifecycle.
  • Demonstrated experience implementing Medallion Architecture in production environments.
  • Strong knowledge of SQL and Python.
  • Proven experience developing scalable ETL/ELT pipelines.
  • Solid understanding of Apache Spark, Delta Lake, and modern cloud-based data architectures.
  • Strong knowledge of data modeling and dimensional modeling concepts.
  • Experience implementing data governance, data quality, and security frameworks.
  • Familiarity with Azure cloud services and enterprise architecture principles.
  • Experience working within Agile delivery teams.
  • Excellent analytical, problem-solving, and communication skills.
  • Professional proficiency in English.


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.
  • Exposure to Analytics, Artificial Intelligence, or Machine Learning initiatives.
  • Previous experience within financial services, consulting, or other regulated environments.
  • Knowledge of CI/CD, DataOps, and DevOps practices.
  • Experience with Microsoft Purview.
  • Experience mentoring junior engineers or leading technical workstreams.
  • Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or ARM Templates.


What's on Offer

  • Opportunity to join a rapidly growing international company with offices in Portugal, Spain, and the United Kingdom.
  • Participation in complex and highly stimulating projects for sophisticated clients across Europe and the US.
  • Structured Career Development Plan tailored to your professional growth.
  • Access to internal and external training programs.
  • Sponsorship for professional certifications and advanced education.
  • Competitive compensation package and performance-related benefits.
  • Hybrid working model with up to 50% remote work.
  • Relocation and visa sponsorship support available for eligible international candidates.


If you are passionate about building modern data ecosystems and want to work with cutting-edge technologies in a collaborative and fast-paced environment, we would love to hear from you.


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