SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared need-to-know basis Experience using programming skills in data related programming languages and frameworks, such Kusto Experience with Azure Data Solutions: Azure Data Factory, Azure Data Explorer, Azure Databricks Profound technical understanding for Data Engineering and Data Warehouse Design Familiar with modern
and IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight
JAVA, Azure, Cloud is looking for an Azure Data Engineer. The unique positioning gives maintaining Big Data Pipelines using Data Platforms
JSON, RFC, IDOCs) Workflow SAP S/4HANA skills Core Data Services & AMDP Database update programming management Solution architecture, design, and development Data Modelling Excellent debugging and troubleshooting agile environment Willing and able to work on weekends and public holidays Willing to travel to internationally
VDI Deployment. Understanding CA Data Management / Follow the Data as an VDI deployment approach. Driving dedicated ITSM service. Upon demand willing to work on weekends (changes). Operate and maintain scripts (deletion) Any operating system certification relating to data management. Any programming certification. Any web
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
(Identification of data sources internally as well as externally to the industry, Daily data collection from Clean-up (Facilitation of data clean-up, Importation of data sets where applicable, Data Quality assurance) threats and risks with the objective to predict future data trends and develop counter measures and best practices
balance Office hours 08h00 – 17h00 No/limited weekend work Flexibility in line with being able to attend
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related