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

Good command of German is required.

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 certifications (Microsoft, SAP, ServiceNow, AWS, Google, Dell Technologies, IBM, Microfocus, Salesforce, Red Hat, VMware, Workday)
• Employee Referral Program - a financial bonus for the referrer for a successful candidate recommendation
• Employee Recognition Program with points assigned by colleagues for the recognized employees (exchangeable for prizes)
• Employee Assistance Program (providing 24/7 support for employees and their families in difficult life situations)
• opportunity to join our numerous charity and ecology-related events organized by our CSR Team (Corporate Social Responsibility)
• DiXi Cool activities: trips, sports and wellness events, discounts for cultural events

If you are ready for your next challenge in an engaging and rewarding environment, we would love to hear from you!

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