PySpark and Python Support the medallion architecture (bronze, silver, gold layers) to ensure a clean separation of raw, refined, and curated data Design and implement dimensional models such as star schemas and slowly changing dimensions Work closely with analysts, governance, and engineering teams to translate business requirements into data solutions Apply data governance and lineage principles to ensure documentation More ❯
data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., StarSchema) Excellent problem-solving skills and a high attention to detail Desirable: Azure Data Engineer certification Experience working with unstructured data sources (e.g. voice) Exposure to Power BI More ❯
context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, StarSchema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯
context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, StarSchema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯
london (city of london), south east england, united kingdom
Experis
context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, StarSchema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯
