Senior Data Engineer - AI Platforms

About the Role

Our client is seeking a highly skilled Senior Data Engineer with expertise in building and maintaining robust AI platforms, based in Oxford . This role is crucial for designing, developing, and optimizing data pipelines and infrastructure that support machine learning and AI initiatives. You will collaborate closely with data scientists and ML engineers to ensure data availability, quality, and accessibility, enabling the development of advanced AI models. This is an exceptional opportunity for a data engineering leader to play a key role in advancing AI capabilities within a leading research and technology hub.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for AI and machine learning applications.
• Develop and manage data warehousing solutions and big data infrastructure.
• Optimize data flows and processing for efficiency and performance.
• Collaborate with data scientists and ML engineers to understand their data needs and provide solutions.
• Implement data governance, security, and quality best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in data engineering, with a strong focus on supporting AI/ML workloads.
• Proficiency in SQL, Python, and experience with big data technologies (e.g., Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.

Benefits

• Competitive salary and performance-driven bonus opportunities.
• Hybrid working model for flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous allowance for professional development and continuous learning.
• An intellectually stimulating environment at the heart of scientific innovation in Oxford .