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

HumanIT Digital Consulting; Lisboa; Hybride; EUR 25 000 - 33 000; Plein temps

Avantages offerts par ce poste

15th month salary

Health insurance for family

Birthday off

Mobility program

Work-life balance

Résumé du poste

HumanIT Digital Consulting in Lisbon is seeking a Data Engineer (Azure/Snowflake) to design and operate enterprise-grade data pipelines for AI and analytics. The role blends hands-on development with governance and quality checks, supporting ingestion from multiple sources and enabling AI workflows.

You will work hybrid in Lisbon, 1-2 days in the office, collaborating with international teams and data scientists.

Qualifications

• Senior-level Data Engineer with production‑grade experience.
• Strong Python and SQL skills, data modelling and ETL/ELT development.
• Hands‑on Azure cloud data engineering experience.
• Experience with Snowflake or similar platforms.
• Knowledge of data quality, orchestration, observability and governance.
• Ability to collaborate with international teams and stakeholders.
• Familiarity with GenAI tools (GitHub Copilot, Cursor, OpenCode).
• English at least B2.

Responsabilités

• Design, build and operate enterprise ETL/ELT pipelines for AI, analytics and reporting.
• Create clean, reusable data products from multiple sources.
• Implement data quality checks, metadata, lineage and reliability patterns.
• Support integrations between Azure AI services, Snowflake, APIs and AWS data services.
• Translate use cases into data models, pipelines and serving layers.
• Onboard new data sources with data owners while ensuring governance.
• Collaborate with data scientists, AI engineers and international teams.

Connaissances

Python

SQL

Data modelling

ETL/ELT

Cloud-native

Azure

Snowflake

Data quality

Orchestration

Observability

Access management

Governance

Collaboration

GenAI tools

English B2

Outils

Azure

Snowflake

GitHub Copilot

Cursor

OpenCode

AWS Glue

Description du poste

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