Data Engineer - Hybrid Lisbon (1-2 days/week office)

Data Engineer (Azure/Snowflake) - Hybrid Lisbon (1-2 days/week office)

ABOUT THE OPPORTUNITY

Join one of Europe's largest parcel and logistics groups, operating in around 40 countries with more than 120 hubs and 1,600+ depots, and moving millions of parcels every day. The Group is centrally driving its AI agenda through a multi-pillar model: domain-specific AI Hubs, a central AI engineering pool, and an Agentic AI Platform that will progressively let each country build and automate its own business processes.

As a Senior Data Engineer, you will build the data foundation that makes this possible. You'll turn operational, customer, parcel and business data into reliable, governed and scalable pipelines that AI teams and agentic workflows can turn into measurable business impact.

PROJECT & CONTEXT

• Design, build and operate enterprise-grade ETL/ELT pipelines for AI, analytics, reporting and agentic workflow use cases
• Create clean, documented, reusable data products from operational, customer, logistics, sales and other sources
• Implement data quality checks, monitoring, lineage, metadata and reliability patterns for production-ready datasets
• Support integrations between Azure-based AI services, Snowflake, APIs, file-based sources and selected AWS data services
• Translate use case requirements from business and AI teams into data models, pipelines and serving layers
• Onboard new data sources with local IT and data owners, respecting data protection, access control and governance requirements
• Work in an international setting alongside data scientists, AI engineers, cloud engineers, business process owners and country IT teams

Work model: hybrid, with offices in the Venda do Pinheiro area (Mafra/Malveira, Greater Lisbon). Initially 1-2 days per week on-site, with the possibility of reducing to 1-2 times per month. Full remote is not available.

WHAT WE'RE LOOKING FOR (Required)

• Senior-level experience as a Data Engineer in production environments
• Strong experience with Python, SQL, data modelling and ETL/ELT development
• Hands-on cloud-native data engineering experience, ideally on Azure
• Experience with Snowflake or comparable cloud data platforms
• Solid understanding of data quality, orchestration, observability, access management and governance in enterprise environments
• Ability to collaborate with technical teams and business stakeholders in international settings
• Comfortable using GenAI development tools such as GitHub Copilot, Cursor or OpenCode
• English: B2 (Upper Intermediate) minimum

NICE TO HAVE (Preferred)

• Practical AWS exposure, including AWS Glue
• Experience with Apache Iceberg, Spark, Databricks or similar technologies
• Background with logistics, parcel operations, customer feedback, route, depot or sales data
• Exposure to AI feature stores, vector databases, retrieval pipelines or data preparation for GenAI applications

Compensation: €2,250 – €2,950/month net, depending on experience and seniority level.

Why HumanIT people stay (4.4 Glassdoor, 89% recommend)

• 15th month salary
• Health insurance covering your family
• Birthday off
• Mobility program for digital nomads
• Real work-life balance

Full benefits: https://www.humanit.pt/careers/#perks
What it's really like: https://www.humanit.pt/careers/#work-at