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Senior Data Engineer (M/F)

Adecco Recruitment

07.09.2026 | Lisboa, Portugal | Referência: 2465659


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Descrição da Função

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 Were Looking For

  • Bachelors 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.

Whats 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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