Role: Data Engineer
Location: London (2 or 3 days in a week)
Employment: Fulltime (Sponsorship not available)
Key Responsibilities
Design, develop, and maintain robust, scalable ETL/ELT pipelines using Azure Data Factory (ADF)
Optimizing SQL queries, stored procedures, and functions for data transformation and performance tuning
Own end-to-end delivery of data engineering tasks — from requirement gathering to deployment and support
Mentor junior data engineers and review their code/pipeline designs
Implement data quality checks, validation frameworks, and error-handling mechanisms within pipelines
Integrate data from structured/unstructured sources (APIs, flat files)
Collaborate with data analysts, and business stakeholders to translate requirements into technical solutions
Contribute to CI/CD implementation for data pipeline deployments
Maintain technical documentation for pipelines, data flows, and architecture
Required Skills
Strong hands-on experience with SQL (complex joins, window functions, query optimization, indexing, stored procedures)
4+ years of experience with Azure Data Factory (ADF) – pipelines, mapping data flows, triggers, linked services, integration runtimes
Solid understanding of Data Engineering principles
Strong working knowledge of the Azure data ecosystem: Azure Data Lake Storage (ADLS Gen2), Azure SQL Database
Experience with performance tuning and troubleshooting pipeline/data issues
Experience with version control (Git) and CI/CD pipelines (Azure DevOps preferred)
Understanding of data governance, security, and compliance practices
Strong analytical, debugging, and problem-solving skills
Preferred/Nice-to-Have Skills
Experience with Databricks
Familiarity with real-time/streaming data
Microsoft Azure Data Engineer Associate (DP-203) certification
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
