
Snowflake Data Engineer with German
DXC Technology23 days ago
Warsaw, Poland or Wrocław, PolandMid Level / Senior
Responsibilities
- Design, develop, and maintain production-grade ETL/ELT pipelines in Snowflake using SQL, Python, and 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.
- Integrate Snowflake pipelines with cloud storage and services and contribute to Data Lake and Lakehouse solutions.
- Use Git and CI/CD tools to test, deploy, and document changes.
- Collaborate with technical and business stakeholders to understand requirements and deliver data solutions in German.
Requirements
- 3–5 years of experience as a Data Engineer, including in-depth practical experience with Snowflake as a data warehouse.
- Hands-on Snowflake development experience with databases, schemas, stages, streams/tasks, views, stored procedures, performance tuning, and access management.
- Strong knowledge of data warehouse design, dimensional modeling, Kimball methodology, data marts, and star and snowflake schemas.
- Excellent SQL skills and experience designing efficient transformations, analytical queries, and reusable data models.
- Experience building production-grade ETL/ELT pipelines with modern orchestration tools.
- In-depth dbt experience covering model development, testing, and deployment.
- 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.
- 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 technical and business stakeholders.
- Good command of German at a minimum B2 level.
- Preferred experience includes Snowpark, Snowpipe, dynamic tables, data sharing, masking policies, Snowflake Native Apps, Airflow, Azure Data Factory, Databricks, data governance, metadata management, cataloging, observability, cost optimization, Docker, Kubernetes, serverless deployment, infrastructure as code, and AI/GenAI concepts.
Benefits
- Stable employment in an international company with advancement opportunities and varied projects.
- Hybrid-only work from offices in Warsaw, Cracow, Gdansk, or Wroclaw.
- Onboarding buddy support.
- Medical insurance, life insurance, and Multisport Card.
- Access to DXC University, LinkedIn Learning, Udemy, foreign-language learning, and partner courses and certifications.
- Employee Referral, Employee Recognition, Employee Assistance, charity, ecology, sports, wellness, travel, and cultural activities.
Tech Stack
Categories
Data Engineering
About DXC Technology
DXC Technology is a public IT services and consulting company that runs and modernizes mission-critical systems for large enterprises and governments. It provides managed services, cloud migration and operations, cybersecurity, application development, and industry BPS, monetizing through long-term outsourcing and consulting engagements. Formed in 2017 from the merger of CSC and HPE Enterprise Services, DXC is headquartered in Ashburn, Virginia and trades on the NYSE as DXC.