Data Engineering Active DV Clearance Required Anson McCade is delighted to be partnering with a world-renowned consultancy as they seek to appoint Data Engineer to their talented organisation. This opportunity provides experienced individuals who are driven by curiosity and a passion for innovation, committed to building the world's leading AI-powered, cloud-native software solutions for our clients customers. With a legacy of success, our client offer global opportunities, providing a welcoming environment for those looking to advance their careers. The Data Engineer will work across product and technology ecosystem spans Research, Software, and Infrastructure, positioning you at the forefront of growth and innovation. The Data Engineer role calls for a highly analytical professional skilled in Python programming, database management, and data methodologies. Your focus will be on extracting insights from data, developing and deploying machine learning models, managing large-scale data infrastructure, and supporting the development of AI-driven products. Key Responsibilities: Data Collection and Preparation: Gather and clean data from various sources to ensure high-quality datasets that support informed decision-making. Data Analysis and Visualization: Analyze and visualize data using advanced methods to uncover patterns, insights, and trends. Statistical Analysis: Use statistical and mathematical techniques to build a solid foundation for predictive modeling. Machine Learning and AI: Design and implement machine learning and deep learning models to solve key business challenges. ML-Ops / AI-Ops: Apply ML-Ops/AI-Ops best practices to streamline model deployment and management. Big Data Management: Oversee big data infrastructure and perform data engineering tasks to ensure efficient data handling and processing. Version Control and Collaboration: Use version control tools like Git to maintain code integrity and promote team collaboration. AI-Powered Product Development: Develop, design, and support AI-based products that provide meaningful solutions aligned with business goals and user needs. Technical Skillset: Develops applications leveraging Big Data technologies, including API development. Should possess a background in traditional Application Development, along with familiarity with analytics libraries, open-source Natural Language Processing (NLP), and statistical and big data computing libraries. Exhibits strong technical skills in understanding, designing, writing, and debugging complex code. AWS (Lambda S3 DynamoDB etc) Cloudformation JavaScript Cypress testing Openshift containers