GCP Data Platform Engineer (Cloud)

TL;DR

GCP Data Platform Engineer: Developing and maintaining reusable data processing frameworks and pipelines on GCP with an accent on data migration, cloud transformation, and data governance. Focus on building batch and streaming pipelines, implementing automated tests, and enabling AI/LLM-driven solutions.

Location: Hybrid in Warsaw, Poland (2-3 days a week in office)

Company

hirify.global is a major telecommunications corporation focused on innovative data transformation projects.

What you will do

• Develop reusable frameworks for data processing and testing on GCP (BigQuery, Dataflow/Dataproc, Composer).
• Build and maintain batch and streaming data ingestion pipelines from various sources into GCP.
• Implement automated tests and data quality checks for data pipelines.
• Collaborate with analysts and data scientists to deliver reliable, well-documented datasets.
• Monitor, optimize, and secure data pipelines in line with data governance and compliance standards.

Requirements

• Location: Must be able to work hybrid in Warsaw, Poland.
• 3+ years experience as a Data Engineer in data-driven environments.
• Experience with GCP data services and modern data platform patterns including data lakehouse architectures.
• Strong SQL, Spark, Python/Scala/Java skills, and experience with IaC tools like Terraform.
• Very good command of English (spoken and written).
• Strong communication skills to explain complex technical concepts to business stakeholders.

Nice to have

• Degree in Computer Science, Data Science or related field.
• Experience with data governance, metadata, and data quality tools.
• Experience collaborating with business stakeholders.

Culture & Benefits

• Work on a strategic data transformation project moving analytics from on-premise to GCP.
• Build data architecture and models from the ground up with focus on business value and customer experience.
• Use modern technologies including GCP, Spark, Python, Kubernetes, Terraform, and AI tools.
• Collaborate in a proactive, innovative environment shaping long-term data platform standards.