senior platform engineer.

•  Participate in the design, development, and implementation of scalable data engineering solutions across the Medallion architecture (Bronze, Silver, Gold);


• Design and maintain efficient data pipelines and integration processes using Microsoft Fabric, Azure Data Factory and ADLS / Onelake;


• Develop, test, and deploy SQL, PySpark and pure-python ETL/ELT workflows ensuring data quality, consistency, and performance;


• Collaborate with data architects, data scientists, analysts, and business stakeholders to define data requirements and deliver high-quality solutions aligned with governance and modeling standards;


• Monitor, troubleshoot, and optimize data pipelines and architectures for scalability, reliability, and efficiency;


• Ensure compliance with data governance, security, and regulatory standards throughout the data lifecycle. Both in ETL workflows as well as overall platform architecture;


• Maintain clear technical documentation and promote reusable frameworks, automation, and best practices;


• Mentor junior engineers and foster a culture of technical excellence, collaboration, and continuous improvement.

• 5+ years of professional experience in data engineering with proven expertise in Azure technologies; 


• Strong track record in designing, implementing, and managing complex data pipelines, ETL/ELT processes, and integration solutions;


• Advanced knowledge of data modeling, dimensional design, and data warehousing using SQL, NoSQL, and columnar databases;


• Hands-on experience with Azure Data Factory, Synapse (dedicated and serverless), and Azure Data Lake Storage;


• Proficiency in Python and PySpark for scalable data processing; additional experience with Java or Scala is a plus;


• Exposure to Python ETL packages like Pandas, Polars or DuckDB;


• A strong understanding of platform principles such as networking, orchestration and metadata-driven architecture; 


• Expert-level SQL skills for complex transformations, optimization, and performance tuning;


• Familiarity with Agile and DevOps methodologies, including CI/CD implementation using Azure DevOps or GitHub Actions;


• Working knowledge of data visualization tools such as Power BI, Tableau, or Looker;


• Solid understanding of data governance, data quality, and security best practices (RBAC, encryption, GDPR);


• Strong leadership and communication skills, with proven ability to mentor engineers and collaborate effectively with cross-functional teams;


• Exposure to Microsoft Fabric and Cognite Data Fusion (CDF) is an advantage


• Proficiency in English is essential

Direct contract (contrato sem termo), health and life insurance, meal allowance of 10,2 €/work day, annual bonus up to 8% (company results and individual performance) + 40€ / month transportation + pension plan.