Job Description:
Join our team of data engineers and analytics specialists building modern data platforms for enterprise-scale reporting, automation, and AI-enabled use cases. In this role, you will work with Snowflake as the core cloud data platform, modern ETL/ELT orchestration tools, and AI-ready data engineering practices to deliver reliable, scalable, and business-oriented data solutions.
For our German client we are currently looking for:
Snowflake Data Engineer with German
Job location: HYBRID ONLY from Warsaw, Cracow, Gdansk or Wroclaw
Key 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
Required skills:
Several years’ experience (3–5 years) as a Data Engineer, including in-depth practical experience with Snowflake as a data warehouse
Strong hands-on experience with Snowflake development, including databases, schemas, stages, streams/tasks, views, stored procedures, performance tuning, and access management
Good understanding of data warehouse design, dimensional modeling, Kimball methodology, data marts, and star/snowflake schemas
Excellent SQL skills and practical experience designing efficient transformations, analytical queries, and reusable data models
Experience building production-grade ETL/ELT pipelines with modern orchestration tools
In-depth experience with dbt (development, testing and deployment of models)
Good Python skills for data processing, automation, testing, and integration tasks
Practical understanding of Data Lake and Lakehouse concepts, including ingestion, storage, governance, and analytics enablement
Practical experience with at least one cloud platform, preferably Azure, AWS, or GCP, including storage, compute, networking, identity, and security basics
Practical knowledge of Git, Azure DevOps or similar tools, code reviews, testing, and CI/CD practices
Good communication skills and ability to work with both technical and business stakeholders
Good command of German (minimum B2)
Nice to have:
Hands-on experience with Snowpark, Snowpipe, dynamic tables, data sharing, masking policies, or Snowflake Native Apps
Experience with Airflow, Azure Data Factory, Databricks, or other modern data engineering tools
Knowledge of data governance, metadata management, cataloging, observability, and cost optimization
Basic knowledge of Docker, Kubernetes, serverless deployment, or infrastructure as code
Awareness of AI and GenAI concepts such as LLMs, embeddings, semantic search, RAG, prompt-based workflows, and AI-ready data preparation
Willingness to use AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar to improve productivity
We offer:
stable employment in an international company
advancement opportunities within the organization (a variety of exciting projects with an array of technologies and tools)
modern and conveniently located offices in Wrocław, Warsaw, Cracow or Gdansk
an onboarding buddy’s support to make you feel comfortable in our company from day one
substantial medical insurance package provided in cooperation with the biggest medical services provider in Poland
life insurance package
Multisport Card
unlimited access to DXC University with courses from a bunch of external partners for the best learner's experience (e.g., LinkedIn Learning, Udemy)
access to a foreign language learning platform
DXC Partner courses and…