2 months ago
Kraków, PolandMid Level
Responsibilities
- Create, develop, and operate scalable, efficient, and dependable data pipelines.
- Deliver end-to-end data platforms, including data architecture and ETL implementations.
- Partner with data scientists, analysts, and engineering teams to integrate data and improve performance.
- Apply best practices for data governance, quality, and security.
- Tune and streamline data workflows for reliability and throughput.
- Stay current with trends and advancements in data engineering.
- Mentor and share knowledge with junior data engineers.
- Support growth and skill development in advanced AI technologies.
Requirements
- Hands-on commercial experience with Azure cloud and services, including Azure Data Factory, Data Lake, SQL Database, and Azure Databricks.
- Commercial project experience with Databricks.
- Experience using Python and PySpark to build and operate data solutions.
- Experience using SQL for querying, transforming, and validating data.
- Knowledge of ETL, data modeling, data warehousing, and data governance practices.
- English proficiency at B2 level or higher.
- Hands-on experience with MS Fabric is desirable.
- Familiarity with Docker and Kubernetes is desirable.
- Understanding of machine learning concepts and frameworks such as MLflow and TensorFlow is desirable.
- Knowledge or experience with LLMs and orchestration frameworks is desirable.
Tech Stack
Categories
Data Engineering
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.