Lead Data Engineer - Azure

Senior Azure Data Engineering Lead Global FS/Insurance Location : London - 2-3 days hybrid working in central London Day Rate : £110,000 + 20% Bonus Are you a seasoned data engineering expert passionate about Azure cloud services? Do you thrive in a leadership role, guiding teams to build cutting-edge data solutions? Join us as a Senior Azure Data Engineering Lead and spearhead the development of our single version of truth (SVOT) platform. Key Responsibilities : Leadership & Team Management : Lead, mentor, and manage a team of talented Azure data engineers. Drive the technical execution of the team. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to ensure a high-quality SVOT platform. Architecture & Delivery : Design, develop, and implement scalable and secure data lake solutions on Azure. Ensure best practices in data engineering, data integration, and ETL processes. Build end-to-end pipelines to support enterprise-wide analytics. Code complex aspects of our data pipeline. Monitor and enhance the performance and scalability of the SVOT platform to ensure high availability and accessibility. Experience & Skills : Minimum of 8 years of experience in data engineering. At least 5 years of hands-on experience with Azure data services (e.g., Apache Spark, Azure Data Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to manage multiple projects and meet deadlines. Certifications in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect) are highly desirable. Please apply!