Senior Data Engineer
London, South East, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Certain Advantage
quality improvement. Contribute to best practice sharing and community-building initiatives within the data engineering space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure … services Version Control/DevOps tools: GITHUB, Azure DevOps, Actions Testing & Automation tools: PyTest, SonarQube Desirable Experience Experience leading or running scrum teams Exposure to planning tools such as BPC Familiarity with external data ecosystems and documentation tools (e.g., MKDocs) The Project You’ll be joining a large-scale programme focused on modernising a global data warehouse platform using More ❯
Employment Type: Contractor
Rate: Salary negotiable
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