Senior Data Engineer - Snowflake (Hybrid: 2/3 WFH)

Ernst & Young Advisory Services Sdn Bhd; Katowice; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Continuous learning

Success as defined by you

Transformative leadership

Diverse and inclusive culture

Job summary

EY GDS Poland is seeking a Senior Data Engineer to build data platforms enabling clients to make informed decisions. You will design robust solutions on state-of-the-art data engines such as Snowflake and collaborate with teams across the globe.

You will work on international projects using major cloud providers (Azure, AWS, GCP). The role requires strong SQL/Python skills, Big Data experience, and knowledge of data warehousing concepts, DevOps, and CI/CD practices.

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 relational and non-relational storage design concepts.
• Knowledge of Data Marts, Data Warehouses, Data Lakes, Data Mesh.
• Very good English (verbal and written).
• Experience with Agile methodologies (Scrum, Kanban), DevOps and CI/CD principles.

Responsibilities

• Build data platforms enabling clients to make informed decisions.
• Design robust solutions on state-of-the-art data engines such as Snowflake.

Skills

SQL

Python

Big Data

Data Warehousing

ETL

Distributed data processing

Data modeling

Tools

Snowflake

Job description

EY GDS Poland is seeking a Senior Data Engineer to build data platforms enabling clients to make informed decisions. You will design robust solutions on state-of-the-art data engines such as Snowflake and collaborate with teams across the globe.

You will work on international projects using major cloud providers (Azure, AWS, GCP). The role requires strong SQL/Python skills, Big Data experience, and knowledge of data warehousing concepts, DevOps, and CI/CD practices.