Senior Data Engineer | Databricks, Spark & AI/ML We are partnering with a leading international investment and asset management company that is expanding its Data & Analytics capabilities. We are looking for a Senior Data Engineer to play a key role in designing and delivering scalable data solutions that support advanced analytics, AI, and Machine Learning initiatives across the organisation. Your responsibilities: • Design, build, and maintain large-scale data pipelines and data platforms • Drive best practices in data engineering, architecture, and performance optimisation • Develop robust solutions using Databricks and Apache Spark • Enable AI and Machine Learning use cases through high-quality, reliable data foundations • Collaborate with data scientists, analysts, and business stakeholders on strategic initiatives • Contribute to the evolution of a modern, cloud-based data ecosystem Technical Environment: • Databricks • Apache Spark • Python • SQL • Cloud Platforms • AI & Machine Learning Technologies What makes this opportunity unique? • Direct impact on business-critical data and investment processes • Exposure to large-scale, complex data environments • Strong focus on innovation, analytics, and AI • International and collaborative environment • Opportunity to influence technical decisions and shape the future of the data platform If you are an experienced Data Engineer looking for your next challenge in a highly innovative and data-driven environment, apply now and discover how you can make an impact.