Senior GCP Data Engineer (GCP)

TL;DR

Senior GCP Data Engineer (GCP): Designing, implementing, and migrating large-scale data pipelines to GCP with an accent on BigQuery as the core analytics layer. Focus on building production-grade batch and streaming pipelines, ensuring scalability and cost efficiency, and leveraging AI-powered development tools to improve software delivery.

Location: Must be based in the European Union region and possess a valid work permit

Company

hirify.global is a global AI-first digital transformation and engineering partner specializing in AI, Data, Cloud, and Intelligent Automation.

What you will do

• Design, implement, and migrate large-scale data pipelines to GCP using BigQuery as the primary analytics layer.
• Build and maintain production-grade batch and streaming data pipelines.
• Validate and optimize the performance, reliability, scalability, and cost efficiency of migrated workloads.
• Contribute to the evolution of a cloud-native, scalable, and observable modern data processing stack.
• Collaborate with platform and infrastructure engineers to develop shared data foundations.
• Take full ownership of delivered solutions to ensure they meet strict production requirements.

Requirements

• Strong hands-on experience in Data Engineering or backend engineering with a clear data focus.
• Proficiency in Java used in data-intensive or platform-related contexts.
• Solid production experience with GCP, specifically BigQuery.
• Strong understanding of SQL and analytical data modeling.
• Practical experience with data processing frameworks such as Beam, Dataflow, Spark, or Flink.
• Must be based in the EU and have a valid work permit.

Nice to have

• Experience with Apache Flink, particularly for streaming use cases.
• Proven track record in large-scale data pipeline migrations.
• Familiarity with Lakehouse architectures and cloud-based cost optimization.
• Interest in AI-driven practices, agent-based workflows, and AI-augmented development.

Culture & Benefits

• Engineering-first culture with a focus on growth and continuous knowledge sharing.
• Opportunity to work with high-profile global clients like McLaren, Spotify, and Disney.
• Exposure to leading technologies including Databricks, Snowflake, and various cloud providers.
• People-first culture within a large team of nearly 1,000 experts in the CEE region.

Hiring process

• CV review followed by an HR screening call.
• Technical interview.
• Client interview.
• Final decision.