Data Engineer

RequirementsUniversity degree, combined with professional IT experience of more than 6 years;Advanced data and statistical analysis, techniques and tools using Python and R;Knowledge of Natural Language Processing libraries and techniques using Python;Experience in Microsoft On-Prem and Azure Data Platform tools (such as Azure Data Factory, Azure Functions, Azure Logic Apps, SQL Server, ADLS, Azure Databricks, Microsoft Fabric/Power BI, Azure DevOps, Azure AI Services);Creating reports, visualizations, and dashboards using Python (e.g. Databricks, Jupyter notebooks, voila dashboards) and Power BI;Development and data processing using Python for structured, semi-structured and unstructured data types and related file format (e.g. JSON, Parquet, Delta);Advanced Power BI Online Services and best governance practices;Knowledge of modelling libraries, including OLS regression, generalized linear models and machine-learning;Experience in Data modelling, principles and methods and Data Lakes and Data Lakehouse architecture, concepts and governance;Experience in Databricks ecosystem, Apache Spark, Polyglot data processing libraries SQL, Power M, DAX as well as in DAMA Data Management;Experience in Web APIs and OpenAPI standard and Survey tool e.g. EU Survey;Excellent command of the English language.Thank you very much!