Senior GCP Data Engineer – Hybrid (Katowice/Remote)

EY; Wrocław; Híbrido; PLN 180.000 - 280.000; Jornada completa

Descripción de la vacante

EY GDS Poland is seeking a Senior GCP Data Engineer to build data platforms that enable clients to make informed decisions using GCP and BigQuery. You will design robust data solutions and work with engineers, product managers, and partners around the world.

The role emphasizes data warehousing, pipelines, and modern data engineering practices in a global delivery environment, with a mix of on-site and remote collaboration.

Formación

• 4 years of experience in Data Engineering.
• 2 years of experience in Big Data on Google Cloud Platform (GCP).
• Proficient in SQL and/or Python.
• Background in data warehousing, data pipelines, distributed data processing, software engineering components and data modeling concepts.
• Analytical problem-solving skills, especially for big data environments.
• Experience with structured, semi-structured and unstructured data.
• Strong experience in data marts, data warehouses, data lakes and data mesh concepts.
• Very good English (verbal and written).
• Experience with Agile methodologies (Scrum, Kanban), DevOps and CI/CD principles.

Responsabilidades

• Build data platforms that enable clients and business partners to make efficient decisions.
• Design robust solutions on GCP and modern data warehousing with BigQuery.
• Collaborate with engineers, product managers, and partners worldwide.

Conocimientos

Data Engineering

Big Data on GCP

SQL

Python

Data warehousing

Data pipelines

Analytical problem-solving

Structured data

Unstructured data

Data Marts/ Warehouses/ Lakes / Mesh

English proficiency

Agile / DevOps / CI/CD

Herramientas

Parquet

ORC

Avro

DeltaLake

Apache Hudi

Iceberg

Descripción del empleo

EY GDS Poland is seeking a Senior GCP Data Engineer to build data platforms that enable clients to make informed decisions using GCP and BigQuery. You will design robust data solutions and work with engineers, product managers, and partners around the world.

The role emphasizes data warehousing, pipelines, and modern data engineering practices in a global delivery environment, with a mix of on-site and remote collaboration.