Snowflake Data Engineer — AI-Ready Pipelines

DXC; Wrocław; Hybrid; PLN 150,000 - 230,000; Full time

Job summary

DXC Technology in Wrocław seeks a data engineering professional to design and maintain Snowflake-based ETL/ELT pipelines, build dbt models for analytics, and optimize data warehouse performance. The role emphasizes strong SQL/Python coding and collaboration with business teams in German.

You will leverage modern orchestration tools, integrate with cloud storage and data lake components, and follow CI/CD practices to deploy changes. Hybrid work model with in-person collaboration is offered.

Qualifications

• Proficiency with Snowflake for production-grade pipelines.
• Strong SQL and Python development for data modeling and transformations.
• Experience with modern ETL/ELT orchestration tools.
• Fluent communication in German and ability to collaborate with business teams.

Responsibilities

• Design, develop, and maintain production-grade ETL/ELT pipelines in Snowflake using SQL, Python, and modern orchestration tools
• Build data models and dbt transformations for reporting and analytics
• Optimize SQL queries and Snowflake warehouse performance, and manage databases, schemas, and access controls to support efficient, secure data processing
• Integrate Snowflake pipelines with cloud storage and services, and contribute to Data Lake and Lakehouse solutions for ingestion, storage, and analytics
• Use Git and CI/CD tools to test, deploy, and document changes
• Cooperate with technical and business teams to understand requirements and deliver solutions, communicating in German

Skills

SQL

Python

German communication

Git

CI/CD

Tools

Snowflake

dbt

ETL/ELT orchestration

Job description

DXC Technology in Wrocław seeks a data engineering professional to design and maintain Snowflake-based ETL/ELT pipelines, build dbt models for analytics, and optimize data warehouse performance. The role emphasizes strong SQL/Python coding and collaboration with business teams in German.

You will leverage modern orchestration tools, integrate with cloud storage and data lake components, and follow CI/CD practices to deploy changes. Hybrid work model with in-person collaboration is offered.