Empresa:
TMC
Descrição da Função
About TMC
At TMC, you're not just joining a company - you become part of a community built around our unique Employeneurship model. This approach combines long-term stability with entrepreneurial freedom, enabling you to develop your career while contributing to high-impact technological projects in global industries.
Project Details
We are looking for an experienced Data Engineer to join a project focused on designing, building and optimizing cloud based data pipelines and large scale processing solutions. You will work with modern data platforms on Azure and contribute to scalable architectures that support analytics, reporting and machine learning workloads.
What We're Looking For
5+ years of professional experience in data engineering
Strong expertise in Azure Data Factory (ADF)
Experience with Databricks and large scale data processing
Proficiency in PySpark and distributed compute concepts
Solid understanding of data lakehouse architectures
Experience with Azure Data Lake, Azure SQL, Delta Lake or similar technologies
Familiarity with CI/CD practices for data pipelines
Knowledge of ETL/ELT design patterns and performance optimization
Experience working in agile teams
Strong problem solving, debugging and analytical skills
English proficiency: B2 or higher
Responsibilities
Design, implement and maintain data pipelines using ADF and Databricks
Build scalable ETL/ELT solutions using PySpark
Optimize workflows for performance, scalability and cost-efficiency
Work with architects and data analysts to deliver reliable data products
Ensure data quality, observability and proper documentation
Integrate data from multiple structured and unstructured sources
Support cloud environments following DevOps/DataOps principles
Collaborate within agile teams, contributing to planning, reviews and best practices
Why Join TMC?
Work on impactful international projects across innovative sectors
Benefit from the Employeneurship model: stability, freedom and continuous learning
Access to certifications, training programs and personalized career development

Observações
Lisboa (Portugal)