Data Engineer

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Design, develop, implement, and optimize data engineering solutions.

• Create, develop, and maintain robust and scalable ETL/ELT data pipelines.

• Implement processes for extracting, transforming, and loading data from multiple sources.

• Develop data processing solutions using Python, Pandas, and PySpark or equivalent technologies.

• Manage and optimize data platforms in Azure Cloud utilizing Blob Storage and SQL Server.

• Develop and manage analytical solutions on Google Cloud Platform, particularly with BigQuery.

• Design, implement, and optimize advanced SQL queries.

• Orchestrate workflows using Airflow or similar tools, including process monitoring.

• Design and maintain data models aligned with business requirements.

• Participate in defining and evolving Data Lake and Data Warehouse architectures.

• Implement version control using Git/GitHub.

• Collaborate in CI/CD processes to automate testing, integration, and deployment.

• Monitor and optimize data performance, quality, and availability.

• Engage in data migration projects and technological modernization.

• Collaborate with Analytics, BI, Data Science, and Business teams.

• Evaluate and integrate Agentic Engineering and Artificial Intelligence tools to enhance productivity and automation.

• Work at Inetum, an agile international digital consulting group present in 26 countries.

⛳️ Requirements

• 3 to 5 years of experience as a Data Engineer.

• 1 to 2 years of experience in Walmart Cloud (WCNP) (preferred).

• 3 to 5 years of experience in development using Python (Pandas, PySpark, or equivalent).

• 2+ years of experience working with Azure Cloud, particularly Blob Storage and SQL Server.

• 2+ years of experience in Google Cloud Platform (BigQuery).

• 2+ years of experience using Airflow or similar orchestration tools.

• 2+ years of experience in developing and maintaining ETL/ELT pipelines.

• Experience in Continuous Integration and Continuous Delivery (CI/CD) processes.

• Experience in data modeling.

• Experience using Git/GitHub.

• Experience in data migration projects (preferred).

• Experience with Agentic Engineering tools (preferred).

• Proficient in Python (Pandas, PySpark).

• Advanced SQL skills.

• Knowledge of Azure Cloud (Blob Storage, SQL Server).

• Familiarity with Google Cloud Platform (BigQuery).

• Experience with Apache Airflow or equivalent tools.

• Knowledge of Data Lake and Data Warehouse architectures.

• Proficient in ETL/ELT processes.

• Familiar with CI/CD methodologies.

• Experience with Git/GitHub.

• Proficient in data modeling.

• Basic to intermediate technical English skills.

• Ability to work with large volumes of data.

🏝️ Benefits

• Continuous training programs and certifications.

• Access to learning and professional development platforms.

• A culture of innovation and collaboration.

• Programs for physical and emotional well-being.

• Opportunities for growth in international projects.

• Recognition and rewards for performance.

• Benefits that exceed legal requirements.

• Life insurance.

• Major Medical Expenses Insurance.

• Grocery vouchers.

• 100% payroll scheme.