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.