Senior Data Platform Engineer (GCP)

Quick Facts

• Role: Data Platform engineering (GCP-focused)

• Work model: Hybrid (1–2 days/week in Warsaw)

• Team: 5–6 engineers, distributed across Poland and Spain

Description

You will design, develop, and maintain modern data platform pipelines on Google Cloud Platform. The role focuses on building Data Lake/Lakehouse and Data Warehouse capabilities that support analytics, reporting, and Machine Learning use cases, including streaming and CDC-based processing. You will partner with Data Scientists, business analysts, architects, and Product Owners to deliver global initiatives and continuously improve engineering standards.

Responsibilities

• Design, build, and operate data pipelines on GCP

• Build and evolve Data Lake and Lakehouse for analytics and ML

• Develop efficient streaming processing and CDC pipelines

• Design and develop Data Warehouse solutions and data models for business analytics

• Solve complex data processing challenges to support business decision-making

• Collaborate with Data Scientists, business analysts, architects, and Product Owners

• Apply data engineering best practices and participate in selecting and implementing new tools/technologies

• Mentor less experienced engineers and share Data Engineering standards

• Ensure quality, performance, and stability via analysis, testing, and maintenance

Requirements

• 5+ years experience as a Data Platform Engineer or Data Engineer

• 2+ years experience with GCP

• Very good SQL knowledge

• Programming experience in Python or Scala

• Hands-on experience with BigQuery, Datastream, Dataproc, DataPlex, Dataform

• Experience building and maintaining Data Lake/Lakehouse

• Experience building Data Warehouse solutions using cloud MPP engines (BigQuery preferred)

• Experience with streaming pipelines and CDC

• Data modeling plus ETL, Data Governance, and reporting knowledge

• Experience with relational, NoSQL, and cloud databases

• Good Linux knowledge

• Experience working in Agile teams

• Very good English (B2 minimum, C1 preferred)

Benefits

• Stable employment contract

• Elevated tax-deductible costs (KUP) after the probation period

• Opportunity to contribute to a global data platform used by an international organization

• International working environment with Data Engineering experts

• Work with a modern Google Cloud ecosystem and Data Engineering/Analytics tools

• Real impact on solution development and technology choices

• Hybrid model (1–2 days/week in office)

• Technical and mentoring growth opportunities

• Quality-, collaboration-, and continuous-improvement oriented culture

• Flexible working hours

• Private medical care, Multisport card, and life insurance