Senior Data Engineer (Spark/Kafka/Hadoop) - Hybrid Lisbon (3 days/week office)

ABOUT THE OPPORTUNITY

Join the marketing technology division of a global technology leader. Its platforms power marketing measurement, customer insights and campaign optimization for businesses worldwide. As a Senior Data Engineer, you’ll design, build and operate scalable data platforms and pipelines at enterprise scale. You’ll also influence future-state data architecture and help accelerate an ongoing cloud transformation. This is a 12-month project starting in November 2026.

PROJECT & CONTEXT

Build batch, streaming and real-time data pipelines for business-critical products in campaign measurement, reporting, customer insights and AI/ML.
Develop reusable frameworks for data ingestion, transformation, orchestration and delivery across data lake, warehouse and lakehouse environments.
Support the modernization and cloud migration of legacy platforms toward cloud-native architectures.
Strengthen data quality, observability, governance, lineage and security across the data ecosystem.
Mentor engineers, lead root-cause analysis on complex production issues and contribute to architectural decisions and technology roadmaps.
Work in close partnership with Product, Engineering, Data Science, Analytics and Business stakeholders.
The work model is hybrid, with 3 days per week on-site in Lisbon and regular working hours. The selection process includes an interview with the client.

WHAT WE’RE LOOKING FOR (Required)

Extensive experience designing and building scalable data platforms and distributed data processing solutions
Strong expertise in Apache Spark, Apache Kafka, the Hadoop ecosystem, cloud-native data services and large-scale data processing frameworks
Proficiency in one or more of the following: Python, Java, Scala or SQL
Experience developing data pipelines for analytics, reporting, machine learning and operational data products
Deep understanding of data modeling, ETL/ELT design patterns, data architecture and data lifecycle management
Experience building and supporting solutions on AWS, Azure or GCP
Knowledge of data governance, security, privacy, lineage, metadata management and regulatory compliance
Experience with CI/CD, DevOps automation, Infrastructure-as-Code and observability frameworks
Proven experience leading technical initiatives, influencing architectural decisions and mentoring engineers
Strong communication and stakeholder management skills across engineering, product, analytics and business teams
Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field
Fluent English, written and spoken

NICE TO HAVE (Preferred)

Advanced degree (MSc or equivalent)

Compensation: €1700 – 2300 €/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:
What it’s really like:

Senior Data Engineer (Spark/Kafka/Hadoop) - Hybrid Lisbon (3 days/week office)

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