Senior GCP Data Engineer

Senior GCP Data Engineer

Budget: up to 180 pln/h

Client Description

• Global digital platform

• Hundreds of millions of users worldwide

• Consumer-facing subscription products

• Personalized data-driven experiences

Culture:

• collaboration

• experimentation

• engineering excellence

• cloud-native environment

Project Description

Part of:

• Data Infrastructure modernization

• Data Platform modernization

Focus:

• cloud-native data engineering on GCP

Team responsibilities:

• evolving large-scale pipelines

• migrating to modern cloud stack

• cost-efficient and reliable architecture

Responsibilities

• Design/implement/migrate pipelines to GCP

• BigQuery as analytics layer

• Batch and streaming pipelines

• Validate:

  • performance

  • reliability

  • scalability

  • cost efficiency

• Contribute to modern cloud-native stack

• Work with:

  • platform engineers

  • infrastructure engineers

• Support shared platform components

• Own delivered solutions

Project Type

• New project

Duration

• From: 15 June 2026

• To: 31 December 2026

Work Type

• Remote

Must Have

• Strong Data Engineering experience

• Java

• GCP

• BigQuery

• SQL

• Analytical data modeling

• Beam / Dataflow / Spark / Flink

• Batch/streaming pipelines

• Kubernetes basics

• Cloud infrastructure

• DevOps practices

• Maintainable code

• Ownership mindset

Should Have

• Platform engineering

• Scala and/or Python

• Distributed engineering organizations

• Monitoring / observability

Nice to Have

• Apache Flink

• Large-scale migrations

• Cloud cost optimization

• Lakehouse architectures

• Modern data platforms

Additional Requirements

Must Have

Practical experience with:

• Claude Code

• GitHub Copilot

• Cursor

Nice to Have

Interest in:

• agent-based workflows

• automation patterns

• AI-augmented development

• experimentation beyond standard approaches