Senior Data Engineer - Snowflake | Remote/Hybrid

EY

Katowice

Hybrid

PLN 180,000 - 280,000

Full time

14 days+

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Job summary

EY Global Delivery Services in Katowice is seeking a Senior Data Engineer to build scalable data platforms. You will design robust solutions using Snowflake, and collaborate with cross‑functional teams across multiple cloud environments.

The role emphasizes data warehousing, ETL, data modeling, and working with large datasets in a fast‑paced, agile setting. A strong command of SQL/Python and English is required, with hybrid office/remote work arrangement in Poland.

Qualifications

  • 4 years of experience in Data Engineering.
  • 3 years of experience in Snowflake.
  • 3 years of experience in Big Data.
  • Proficient in SQL or Python.
  • Background in data warehousing, ETL, distributed data processing, software engineering components and data modeling concepts.
  • Analytical problem‑solving skills in a big data environment.
  • Experience with structured, semi-structured and unstructured data.
  • Experience in at least one public cloud (Azure, AWS or GCP).
  • Strong experience in relational databases and non-relational storage concepts.
  • Knowledge of Data Marts, Data Warehouses, Data Lakes, Data Mesh.
  • Very good English (verbal and written).
  • Experience with Agile methodologies, DevOps and CI/CD principles.

Responsibilities

  • As a Senior Data Engineer you are responsible for building data platforms that enable our clients and business partners to make efficient decisions with ease.
  • You design robust solutions on state‑of‑the‑art data engines such as Snowflake.

Skills

SQL
Python
Big Data
Data Warehousing
ETL
Cloud (Azure/AWS/GCP)
Agile DevOps CI/CD
Data Modeling
English Proficiency

Tools

Snowflake
Docker
Kubernetes

Job description

EY Global Delivery Services in Katowice is seeking a Senior Data Engineer to build scalable data platforms. You will design robust solutions using Snowflake, and collaborate with cross‑functional teams across multiple cloud environments.

The role emphasizes data warehousing, ETL, data modeling, and working with large datasets in a fast‑paced, agile setting. A strong command of SQL/Python and English is required, with hybrid office/remote work arrangement in Poland.

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