Real-Time Data Engineer — Hybrid, Cloud & Spark

Comeon-Group; Katowice; Hybrid; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Competitive bonus

Team events

Hybrid work model

Remote days up to 40

Home office allowance

Job summary

ComeOn Group is seeking an experienced Data Engineer to design, build, and maintain robust batch and streaming data pipelines in a modern cloud environment. You will implement best practices to ensure data quality and reliable data assets, troubleshoot complex data feeds, and maintain clear communication between business and technical teams about data usage.

The role requires 3+ years in data integration and real-time streaming, experience with Spark and cloud data processing (AWS or GCP), and

Qualifications

• 3+ years experience in data integration and real-time streaming.
• Experience with Spark or similar.
• Experience with AWS or GCP data processing solutions.

Responsibilities

• Design, build, and maintain robust batch and streaming data pipelines in a modern cloud environment.
• Implement data engineering best practices to ensure data quality and consistency.
• Troubleshoot data feeds to ensure uninterrupted flow and availability.
• Establish clear communication between business and technical teams on data usage.
• Own the development lifecycle and work independently when needed.

Skills

Data integration

Real-time streaming

Spark

Python

Scala/Java

Cloud data processing

English communication

Education

Bachelor’s degree in CS/Math

Tools

Airflow

SQL

Data warehousing

Job description

ComeOn Group is seeking an experienced Data Engineer to design, build, and maintain robust batch and streaming data pipelines in a modern cloud environment. You will implement best practices to ensure data quality and reliable data assets, troubleshoot complex data feeds, and maintain clear communication between business and technical teams about data usage.

The role requires 3+ years in data integration and real-time streaming, experience with Spark and cloud data processing (AWS or GCP), and