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Data Engineer (M/F) – Lisboa
IT - Data & Analítica
Data Engineer
IT

Introdução

Claire Joster is currently recruiting for a reference client in car rental services, who aims to strengthen its internal structure with the integration of a Data Engineer (M/F).

Função

  • ETL and Data Integration:
    Develop, optimize, and maintain scalable ETL workflows using Mulesoft Anypoint and other tools. Ensure reliable data extraction, transformation, and loading from multiple disparate data sources.
  • API Integration:
    Design and implement REST API-based integrations to enable seamless data exchange between applications and systems.
  • SQL and Data Management:
    Write efficient and optimized SQL queries and scripts to support data extraction, transformation, and loading (ETL) processes.
  • BI Development:
    Build, enhance, and maintain business intelligence dashboards and reports in Power BI to deliver timely, actionable insights to stakeholders.
  • Data Quality Assurance:
    Lead efforts in data aggregation, cleansing, and transformation to ensure the accuracy and completeness of reports. Implement and maintain data quality observability frameworks, including pipeline monitoring, alerting, and issue resolution.
  • Collaboration and Requirements Gathering:
    Work closely with both business users and technical teams to understand data needs and translate them into effective, scalable integration and reporting solutions.
  • Real-Time Data Integration (Optional):
    Evaluate and implement streaming technologies (e.g., Kafka, AWS Kinesis) for real-time data integration and analytics where applicable.
  • Data Pipeline Monitoring:
    Monitor and troubleshoot data pipelines to ensure high availability, performance, and data accuracy.

Requisitos

  • Strong API Integration Experience:
    Demonstrated experience in working with RESTful APIs to integrate and expose data services.
  • Proficiency in SQL:
    Solid expertise in SQL for querying, transforming, and managing data in relational databases.
  • Hands-on expertise with Mulesoft Anypoint Platform a plus
  • Experience in one or more programming languages such as Java, Python, Golang, etc.
  • ETL Expertise:
    Deep understanding of ETL processes for batch data extraction, transformation, and loading from various data sources.
  • Business Intelligence Tools:
    Proficiency with Power BI (or similar BI tools) for building and maintaining reports and dashboards.
  • Data Quality Observability:
    Practical experience implementing data quality observability, including pipeline monitoring, alerting, and issue resolution to ensure data integrity.
  • Database Management:
    Experience with MariaDB and/or MySQL is a plus.
  • Data Transformation & Mapping Knowledge:
    Strong understanding of data transformation, mapping, and data quality best practices.
12/11/2025