Descrição da Vaga

SENIOR DATA ENGINEER (HYBRID)

Portuguese company hires for hybrid work

Location: Lisbon or Porto / Portugal

Seniority: +6 and up to 9 Years in the role 

Working model: 60% Remote and 40% Presential

Language Requirements: Fluent Portuguese and English (B2+) and Spanish (nice to have)

Instructions: Please submit your resume in English and include all skills and experience that meet the requirements of the position. This will significantly increase your chances of success.    

  What We Are Looking For / Responsibilities: We are seeking a skilled Data Engineer to design, develop, and optimize scalable data pipelines that support both analytical and operational needs. The ideal candidate possesses strong expertise in ETL processes, data modeling, and cloud data platforms, with a keen focus on performance, security, and governance.  

Must-Have:

• Data Integration & Management: Design, develop, and maintain robust ETL pipelines to integrate disparate data sources, ensuring accuracy, consistency, and quality.
• Data Modeling: Create and manage data models and schemas to support enterprise analytics and reporting needs.
• Data Governance & Security: Implement best practices for data governance, ensuring compliance with industry regulations and internal policies, including access controls and encryption.
• Automation & Orchestration: Develop automated workflows for data ingestion, transformation, and reporting using tools such as Airflow, Azure Data Factory, and Databricks.
• Performance Optimization: Monitor and optimize data pipelines for efficiency and scalability, leveraging technologies such as Spark.
• Monitoring & Troubleshooting: Establish monitoring and alerting systems to proactively detect and resolve data-related issues.
• Technical Expertise: Strong knowledge of SQL and relational databases. Experience with data warehousing, ETL processes, and data modeling. Proficiency in Microsoft Fabric, Spark, Python, Azure Data Factory, and Databricks. Understanding of data security, compliance, and best practices in data governance. Familiarity with common data structures and algorithms.
• Strong knowledge of SQL and relational databases.
• Experience with data warehousing, ETL processes, and data modeling.
• Proficiency in Microsoft Fabric, Spark, Python, Azure Data Factory, and Databricks.
• Understanding of data security, compliance, and best practices in data governance.
• Familiarity with common data structures and algorithms.
• Soft Skills: Excellent problem-solving skills, with the ability to address complex data challenges. Strong communication and collaboration skills to work effectively in multidisciplinary teams. Proactive, autonomous, and highly responsible. Up-to-date knowledge of best practices and emerging trends in data engineering.
• Excellent problem-solving skills, with the ability to address complex data challenges.
• Strong communication and collaboration skills to work effectively in multidisciplinary teams.
• Proactive, autonomous, and highly responsible.
• Up-to-date knowledge of best practices and emerging trends in data engineering.
• Language Skills: Fluency in English and Portuguese; knowledge of Spanish is a plus.

  • Top Skills:

- Data acquisition

- Apache Airflow

- Microsoft Azure Data Factory

- Databricks Data Intelligence Platform

- Apche Spark

- SQL

- Microsoft Fabric

- Python

- English

- Spanish

- Data integration

- Data processing

- Data model

- Data governance

- Access control

- Reporting

- Performance Improvement

- Problem Solving

- Relational Database

- Data Warehouse

- Data Security

- Regulatory compliance

- Data structures

- Data Engineering

- Autonomy

- Communication  

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