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 adhering to data protection, access control, and governance requirements.
PROFILE
- Extensive experience with Python, SQL, data modeling, ETL/ELT development, and production data pipelines;
- Cloud-native data engineering experience, ideally on Azure, with practical experience with AWS;
- 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 (required).
OFFER
- Contract with IT House | Egor Group;
- Base salary and meal allowance;
- Hybrid work model (Lisbon);
- Other corporate benefits.