EUROPEAN DYNAMICS is hiring a
Data Engineer

Summary

Join a dynamic team as a Data Engineer at European Dynamics, working on-site or remotely. The successful candidate will design and develop processes for data collection, integration, transformation, and dissemination, including automation processes.

Requirements

• University degree
• 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

Responsibilities

• Create pipelines to interact with internal and external databases, including web APIs
• Design, develop, document and maintain processes for data collection, integration, transformation and dissemination including automation processes
• Design, develop, document and maintain data analytics and statistical analysis products, reports and surveys
• Development of predictive models, such as machine learning, to identify relevant features and predict future events
• Design, develop, document and maintain BI models, reports, dashboard, security, and automation
• Design and build interactive and attractive visualizations of data
• Facilitate analysis and integration processes on the overall data ecosystem, including data governance, by working with data providers to fill data gaps and/or to adjust source-system data structures