Data Engineer: Build Real‑Time Pipelines & Lakehouse

KWAN; Lisboa; On-site; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Competitive salary

Awesome benefits

Career Growth Support

Empowering work culture

Job summary

A leading tech company in Lisbon seeks a passionate Data Engineer to build and refine a core lakehouse infrastructure. The ideal candidate will have over 3 years of experience and skills in Python, PySpark, and data pipelines. This position offers a competitive salary, benefits, and a dedicated People Experience Partner to support your career growth. Be part of a respectful and empowering work culture that values your aspirations and well-being.

Qualifications

• 3+ years of experience in Data Engineering.
• Strong coding skills in Python and PySpark.
• Experience with modern data lake formats like Iceberg, Hudi, or Delta Lake.
• Understanding of Apache Kafka and event-driven architecture.
• Experience constructing and managing large-scale data pipelines.
• Advanced SQL capabilities.
• Experience with modern workflow schedulers like Airflow.

Responsibilities

• Lead the transition of data workloads to Apache Iceberg.
• Engineer and deploy reliable batch and real-time data pipelines.
• Work with Backend Engineering to integrate APIs.
• Design and implement a data lineage and governance strategy.

Skills

Python

PySpark

Apache Kafka

SQL

Data Modeling

Airflow

Flink

Tools

Apache Iceberg

DataHub

Job description

A leading tech company in Lisbon seeks a passionate Data Engineer to build and refine a core lakehouse infrastructure. The ideal candidate will have over 3 years of experience and skills in Python, PySpark, and data pipelines. This position offers a competitive salary, benefits, and a dedicated People Experience Partner to support your career growth. Be part of a respectful and empowering work culture that values your aspirations and well-being.