Data Engineer
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IT House i 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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