Snowflake Data Engineer – German Speaking

DXC Technology Morocco; Wrocław; Hybrid; PLN 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Life insurance

Multisport Card

DXC University

Language learning platform access

Job summary

DXC Technology in Poland is seeking a Snowflake Data Engineer with German language skills to join our data engineering team in Wrocław. You will design and maintain Snowflake-based ETL/ELT pipelines and collaborate with German-speaking stakeholders.

You will use SQL, Python, dbt, and modern orchestration tools to deliver scalable analytics solutions, while ensuring data quality, security, and performance in a global enterprise setting.

Qualifications

• 3–5 years of experience as a Data Engineer.
• Hands-on Snowflake development and performance tuning.
• Strong SQL and data modeling knowledge (Kimball, star/snowflake schemas).
• dbt development, testing and deployment.
• German language at least B2 level.
• Experience with ETL/ELT pipelines and orchestration tools.

Responsibilities

• Design, develop, and maintain production-grade ETL/ELT pipelines in Snowflake using SQL and Python.
• Build data models and dbt transformations for reporting and analytics.
• Optimize queries and Snowflake performance; manage databases, schemas, and access controls.
• Integrate Snowflake pipelines with cloud storage and Data Lake/Lakehouse solutions.
• Use Git and CI/CD tools to test, deploy, and document changes.
• Collaborate with technical and business teams, communicating in German.

Skills

Snowflake data warehouse

SQL

Python

dbt

ETL/ELT pipelines

CI/CD

German language

Tools

Git

Azure DevOps

Airflow

Job description

DXC Technology in Poland is seeking a Snowflake Data Engineer with German language skills to join our data engineering team in Wrocław. You will design and maintain Snowflake-based ETL/ELT pipelines and collaborate with German-speaking stakeholders.

You will use SQL, Python, dbt, and modern orchestration tools to deliver scalable analytics solutions, while ensuring data quality, security, and performance in a global enterprise setting.