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 andconveniently located officesin Wrocław, Warsaw, Cracow or Gdansk
- anonboarding buddy’s supportto make you feel comfortable in our company from day one
- substantialmedical insurance packageprovided in cooperation with the biggest medical services provider in Poland
- life insurance package
- Multisport Card
- unlimited access toDXC Universitywith courses from a bunch of external partners for the best learner’s experience (e.g., LinkedIn Learning, Udemy)
- access to aforeign 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 Programwith 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 numerouscharity and ecology-related eventsorganized by our CSR Team (Corporate Social Responsibility)
- DiXi Coolactivities: 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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