Senior Data Engineer – Spark/Kafka/Hadoop | Hybrid Lisbon

HumanIT Digital Consulting; Lisboa; Hybrid; EUR 19,000 - 26,000; Full time

Benefits offered by this job

15th month salary

Health insurance covering your family

Birthday off

Mobility program for digital nomads

Real work-life balance

Job summary

HumanIT Digital Consulting in Lisbon seeks a Senior Data Engineer to design, build and operate scalable data platforms and pipelines for marketing analytics, customer insights and AI/ML initiatives. The role involves shaping data architecture and accelerating cloud transformations in a 12-month project starting in November 2026.

Responsibilities include creating batch, streaming and real-time pipelines, frameworks for ingestion and orchestration, and governance, with a strong emphasis on

Qualifications

• Bachelor's degree required.
• Fluent English, written and spoken.
• Experience designing scalable data platforms and pipelines.
• Experience with Spark, Kafka, Hadoop and cloud-native data services.
• Experience with data governance, security, and lineage.

Responsibilities

• Build batch, streaming and real-time data pipelines for campaign measurement, reporting and insights.
• Develop reusable data ingestion, transformation and orchestration frameworks across lake/warehouse/lakehouse.
• Support modernization and cloud migration of legacy platforms.
• Strengthen data quality, observability, governance, lineage and security across data ecosystems.
• Mentor engineers, lead root-cause analysis and influence architecture decisions.
• Collaborate with Product, Engineering, Data Science and Analytics teams.

Skills

Spark

Kafka

Hadoop ecosystem

Cloud-native data services

Python

Java

SQL

ETL/ELT design patterns

Data architecture

CI/CD/DevOps

Education

Bachelor's degree in Computer Science, Engineering, Information Systems or a related field

Tools

AWS

Azure

GCP

Job description

HumanIT Digital Consulting in Lisbon seeks a Senior Data Engineer to design, build and operate scalable data platforms and pipelines for marketing analytics, customer insights and AI/ML initiatives. The role involves shaping data architecture and accelerating cloud transformations in a 12-month project starting in November 2026.

Responsibilities include creating batch, streaming and real-time pipelines, frameworks for ingestion and orchestration, and governance, with a strong emphasis on