Senior Data Engineer

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.