IT House is recruiting a Data Engineer for a client in the logistics sector, based in Lisbon.

RESPONSIBILITIES

• Design, build, and operate enterprise-grade ETL and ELT pipelines for AI, analytics, reporting, and agentic workflow use cases;
• Create clean, documented, reusable data products from operational, customer, logistics, sales, and other enterprise data sources;
• Implement data quality checks, monitoring, lineage, metadata, and reliability patterns to ensure datasets are trustworthy and production-ready;
• Support integrations between Azure-based AI services, Snowflake, APIs, file-based sources, and selected AWS data services;
• Work with business and AI teams to translate use case requirements into data models, pipelines, and serving layers;
• Collaborate with local IT and data owners to onboard new data sources while respecting data protection, access control, and governance requirements.

  PROFILE

  • Strong experience with Python, SQL, data modelling, ETL/ELT development, and production data pipelines;
  • Cloud-native data engineering experience, ideally on Azure, with practical AWS exposure;
  • Hands-on experience with Snowflake or comparable cloud data platforms;
  • Deep understanding of data quality, orchestration, observability, access management, and governance in enterprise environments;
  • Ability to collaborate with data scientists, AI engineers, business stakeholders, and local IT teams in international settings;
  • Comfortable using GenAI software engineering tools (GitHub Copilot, Cursor, or similar);
  • Fluent English (mandatory).

    OFFER

    • Contract with IT House | Egor Group;
    • Base salary + Meal allowance;
    • Hybrid model (Lisbon);
    • Other corporate benefits.

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