Senior Data Engineer — Hybrid, Cloud & Big Data Expert

Ernst & Young Advisory Services Sdn Bhd; Katowice; Hybrid; PLN 70,000 - 90,000; Full time

Benefits offered by this job

Continuous learning

Flexible working

Transformative leadership

Diverse and inclusive culture

Job summary

Ernst & Young Advisory Services Sdn Bhd is looking for a Senior Data Engineer in Katowice. You will build data platforms that enable efficient decision-making, utilizing advanced technologies and engaging in international projects primarily on Azure and AWS.

The ideal candidate has at least 4 years of experience in Data Engineering and strong skills in SQL, Python, and big data methodologies. Join us to make a meaningful impact with flexible success paths.

Qualifications

• At least 4 years of experience in Data Engineering.
• At least 3 years of experience in Big Data.
• Proficiency in SQL, Python, and pySpark.
• Strong background in data warehousing and data pipelines.
• Analytical problem-solving skills in big data environments.
• Experience with structured, semi-structured, and unstructured data.
• Experience in at least one public cloud (Azure or AWS).
• Strong experience in relational and non-relational storage.
• Experience with Data Marts, Data Warehouses, Data Lakes.
• Very good German and English proficiency.

Responsibilities

• Build data platforms for clients to make efficient decisions.
• Design robust solutions on state-of-the-art data engines.
• Participate in international projects using major cloud providers.

Skills

SQL

Python

pySpark

Big Data

Data Warehousing

Data Lakes

Agile methodologies

German

English

Tools

Databricks

Azure

AWS

Job description

Ernst & Young Advisory Services Sdn Bhd is looking for a Senior Data Engineer in Katowice. You will build data platforms that enable efficient decision-making, utilizing advanced technologies and engaging in international projects primarily on Azure and AWS.

The ideal candidate has at least 4 years of experience in Data Engineering and strong skills in SQL, Python, and big data methodologies. Join us to make a meaningful impact with flexible success paths.