Data Engineer: Scalable Pipelines with Spark & Cloud

Talanto; Poland; Remote; PLN 654,000 - 784,000; Full time

Job summary

Talanto is seeking a Data Engineer in Poland to design, build, and maintain scalable data platforms and pipelines in a cloud-native environment. You will collaborate with data scientists, analysts, architects, and stakeholders to deliver reliable data solutions.

Responsibilities include developing batch and real-time pipelines with Spark and Kafka, building data warehouses with Hive/SQL, and enforcing data quality, governance, and security across platforms.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• Proven experience as a Data Engineer or similar role.
• Strong programming skills in Python, Java, or Kotlin.

Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines.
• Work with Spark, Kafka, and distributed processing frameworks to optimize data processing.
• Develop data warehousing solutions using Hive and SQL-based technologies.

Skills

Python

Java

Kotlin

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark

Hadoop

Kafka

Hive

Airflow

SQL Server

Docker

Kubernetes

Job description

Talanto is seeking a Data Engineer in Poland to design, build, and maintain scalable data platforms and pipelines in a cloud-native environment. You will collaborate with data scientists, analysts, architects, and stakeholders to deliver reliable data solutions.

Responsibilities include developing batch and real-time pipelines with Spark and Kafka, building data warehouses with Hive/SQL, and enforcing data quality, governance, and security across platforms.