DXC Technology Morocco
Snowflake Data Engineer with German
Designs, builds, and maintains production Snowflake ETL/ELT pipelines, dbt data models, and warehouse performance for a German enterprise client, working hybrid from major Polish cities. Core stack: Snowflake, SQL, Python, dbt, Git/CI-CD and a major cloud platform; German at B2+ required.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3-5 years' experience as a Data Engineer with in-depth practical Snowflake experience
- Strong hands-on Snowflake development: databases, schemas, stages, streams/tasks, views, stored procedures, performance tuning, access management
- Good understanding of data warehouse design, dimensional modeling, Kimball methodology, data marts, star/snowflake schemas
- Excellent SQL skills for transformations, analytical queries, and reusable data models
- Experience building production-grade ETL/ELT pipelines with modern orchestration tools
- In-depth dbt experience (development, testing, deployment of models)
- Good Python skills for data processing, automation, testing, and integration
- Practical understanding of Data Lake and Lakehouse concepts (ingestion, storage, governance, analytics)
- Practical experience with at least one cloud platform (preferably Azure, AWS, or GCP)
- Practical knowledge of Git, Azure DevOps or similar, code reviews, testing, and CI/CD
- Good communication skills with 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, cost optimization
- Basic knowledge of Docker, Kubernetes, serverless deployment, or infrastructure as code
- Awareness of AI/GenAI concepts: LLMs, embeddings, semantic search, RAG, AI-ready data preparation
- Willingness to use AI-assisted development tools (GitHub Copilot, Cursor, Claude Code or similar)
Full description
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