Senior Data Engineer — Real-Time ML Pipelines

ComeOn Group; Katowice; Hybrid; PLN 180,000 - 260,000; Part time

Benefits offered by this job

Hybrid work

Health insurance

Annual bonus

Home office stipend

Remote work up to 40 days/year

Team events

Job summary

ComeOn Group in Poland is seeking a Data Engineer to design, build, and maintain near real-time and batch data pipelines powering production ML models. You will collaborate with Data Scientists to create robust, scalable data flows in our cloud environment.

Hybrid work lets you work from home some days; you’ll own the end-to-end data development lifecycle from ingestion to serving, and work with stakeholders across engineering and business to ensure data quality and reliability.

Qualifications

• 5+ years in data integration and real-time streaming.
• Proficiency in Python and SQL; Java is a plus.
• Strong understanding of data warehousing concepts and schema design.

Responsibilities

• Collaborate with Data Scientists to design and maintain batch and streaming data pipelines.
• Implement best practices to ensure data quality, lineage, and reliability for ML datasets.
• Troubleshoot data feeds and maintain uninterrupted data flow.
• Coordinate with stakeholders across Business, Data Science and Engineering teams.
• Own the data development lifecycle from ingestion to production data serving.

Skills

Data integration

Real-time streaming

Python

SQL

Java

English

Data warehousing

GCP/AWS

BigQuery

Spark/Flink

Education

Degree in quantitative discipline

Tools

Airflow

Pub/Sub

Dataflow

Datastream

BigQuery

Job description

ComeOn Group in Poland is seeking a Data Engineer to design, build, and maintain near real-time and batch data pipelines powering production ML models. You will collaborate with Data Scientists to create robust, scalable data flows in our cloud environment.

Hybrid work lets you work from home some days; you’ll own the end-to-end data development lifecycle from ingestion to serving, and work with stakeholders across engineering and business to ensure data quality and reliability.