Data Engineer (Databricks, Azure)

We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland. Avanade website; Privacy policy This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow). Position: As Data Engineer, you will broaden your experience by working in modern projects for various domains and industries. You will extend your skills in a wide range of tools, focusing on tasks such as: • Designing, building, and maintaining scalable, efficient, and reliable data pipelines • End-to-end development of data architectures and ETL processes • Collaborating with data scientists, analysts, and other engineering teams to ensure data integration and optimization • Implementing data governance, data quality, and data security best practices across data systems • Optimizing performance of data workflows and ensuring the reliability of data solutions • Staying up-to-date with the latest developments in data engineering world • Mentoring and providing guidance to junior data engineers • Possibility to develop yourself in advanced AI technologies Tech stack: During projects you will work with different tools, but the most core tech stack we use is: Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Data Factory), SQL, Python, MS Fabric Required skills: For this role, you will need commercial experience with: • Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks) • Databricks • Python and PySpark • SQL • Data Engineering concepts such as ETL, data modeling, data warehousing, data governance • English (B2) Nice to have: • Experience with MS Fabric • Experience with Docker/Kubernetes • Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow) • Knowledge/experience with LLMs and orchestration frameworks If you want to ask any questions before applying, feel free to reach out via LinkedIn!