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Open nowFirst seen 6 days ago

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

HumanIT Digital Consulting117 open roles

Pay
€1,700 a month
Where
Lisbon, Portugal
Work mode
Hybrid
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Your applicationOpen nowSenior Data Engineer (Spark/Kafka/Hadoop) - Hybrid Lisbon (3 days/week office)HumanIT Digital Consulting · Lisbon, Portugal

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Share of postings closed within
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  2. 4.5%3 days
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  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

The posting

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: https://www.humanit.pt/careers/#perks

What it’s really like: https://www.humanit.pt/careers/#work-at

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