Data Engineer | Spark, Kafka & ML Pipelines

Pracyva; Lisboa; On-site; EUR 55,000 - 75,000; Full time

Job summary

Pracyva seeks a data engineer with Spark, Kafka and Hadoop expertise to design and scale cloud-native data platforms that power analytics and ML. You will implement robust data pipelines, optimize performance, and contribute to architectures supporting real-time and batch processing.

The role requires proficiency in Python, Java, Scala or SQL, deep knowledge of data modeling and ETL/ELT design patterns, and data lifecycle management.

Qualifications

• Experience developing data pipelines for analytics, reporting, ML, and operational data products.
• Deep understanding of data modeling, ETL/ELT design patterns, data architecture, and data lifecycle management.

Responsibilities

Skills

Python

Java

Scala

SQL

Data pipelines

Cloud data architectures

Real-time processing

Tools

Spark

Kafka

Hadoop ecosystem

Job description

Pracyva seeks a data engineer with Spark, Kafka and Hadoop expertise to design and scale cloud-native data platforms that power analytics and ML. You will implement robust data pipelines, optimize performance, and contribute to architectures supporting real-time and batch processing.

The role requires proficiency in Python, Java, Scala or SQL, deep knowledge of data modeling and ETL/ELT design patterns, and data lifecycle management.