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.
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
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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
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
