Senior GCP Data Engineer - Hybrid (Remote 3x/wk)

EY GDS; Katowice, Wrocław; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Continuous learning

Flexible work arrangement

Job summary

EY GDS Poland is seeking a Senior GCP Data Engineer to design and build scalable data platforms on Google Cloud, with emphasis on BigQuery and modern data warehousing. You will collaborate across global teams to deliver robust data solutions and enable smarter decision-making for clients.

The role requires 4+ years in data engineering, strong SQL/Python skills, and experience with data pipelines and DevOps practices. The work model is hybrid with 2 days in the office and 3 days remote in Poland.

Qualifications

• 4 years of experience in Data Engineering.
• 2 years of experience in Google Cloud Platform (GCP).
• Proficient in SQL and/or Python.
• Background in data warehousing, data pipelines, distributed data processing and data modeling concepts.
• Strong analytical problem-solving in big data environments.
• Experience with structured, semi-structured and unstructured data.
• Knowledge of Data Marts, Data Warehouses, Data Lakes, Data Mesh.
• Very good English (written and verbal).
• Experience with Agile methodologies (Scrum, Kanban), DevOps and CI/CD.

Responsibilities

• As a Senior GCP Data Engineer, design robust data platforms on GCP and BigQuery to enable data-driven decisions.
• Build scalable data pipelines and data warehousing solutions for international projects.
• Collaborate with engineers, product managers and partners across the world to deliver data products.

Skills

SQL

Python

Analytical thinking

English proficiency

Agile methodologies

DevOps

CI/CD

Tools

Google Cloud Platform (GCP)

BigQuery

Job description

EY GDS Poland is seeking a Senior GCP Data Engineer to design and build scalable data platforms on Google Cloud, with emphasis on BigQuery and modern data warehousing. You will collaborate across global teams to deliver robust data solutions and enable smarter decision-making for clients.

The role requires 4+ years in data engineering, strong SQL/Python skills, and experience with data pipelines and DevOps practices. The work model is hybrid with 2 days in the office and 3 days remote in Poland.