Data Engineer

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