Data Engineer – Hybrid Lisbon

HumanIT Digital Consulting

. Design, build and operate enterprise-grade ETL/ELT pipelines for AI, analytics, reporting and agentic workflow use cases .

Posted 10/7/2026full-timeLisbon • PortugalMid-LevelSenior💰 €2,250 - €2,950 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating enterprise-grade ETL/ELT pipelines, with a strong focus on data quality, governance, and integration of cloud-native data services. Proficient in collaborating with cross-functional teams to translate business requirements into effective data solutions.

Highest-signal resume keywords

Data EngineeringETL/ELT DevelopmentPython ProgrammingAzure Cloud ExperienceSnowflake Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingData Quality ChecksOrchestrationObservabilityAccess ManagementGovernanceGenAI Development ToolsAWS GlueApache IcebergSpark

Soft Skills

CollaborationCommunication

Tools & Technologies

SnowflakeAzureAWSGitHub CopilotCursorOpenCodeDatabricks

Industry Keywords

Logistics DataCustomer FeedbackParcel OperationsData ProtectionInternational Collaboration

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, build and operate enterprise-grade ETL/ELT pipelines for AI, analytics, reporting and agentic workflow use cases
Create clean, documented and 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 business and AI team requirements into data models, pipelines and serving layers
Onboard new data sources with local IT and data owners while respecting data protection, access control and governance requirements
Work alongside data scientists, AI engineers, cloud engineers, business process owners and country IT teams in an international setting
Build the data foundation enabling AI teams and agentic workflows to create measurable business impact

Requirements

What you’ll need

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

Benefits

Comp & perks

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