We are looking for an infrastructure and pipeline developer with data integrity and data security management development capability and/or experience. The candidate will be involved in designing, constructing, and maintaining scalable data pipelines to extract usable data from disparate sources. Carry out complex preprocessing of both structured and unstructured data, ensuring it is ready for data ingestion and further analysis. Optimise and maintain PostgreSQL databases, utilising SQLAlchemy and SQL for efficient data manipulation. Develop automated scripts to validate the integrity of data and maintain high accuracy in data-related tasks. Improve data collection procedures and storage systems to include all relevant metadata for analytical systems. Build and manage API integrations to streamline data flow between third-party tools (e.g., OpenAI SDK, Gemini) and internal databases. Apply logical and methodical approaches to identify and solve bottlenecks in data processing. Develop and deploy machine learning algorithms and forecast models into production environments. Bridge the gap between data models and user-facing applications using the relevant tools, such as Wized, Webflow, and OpenAI SDKs. Develop front-end functions (HTML, CSS, JS) that interact with backend data services (Django/Flask). Use tools like TensorFlow or PyTorch to create and optimise classifiers, ensuring they perform reliably within the software ecosystem. Experiment with non-conventional approaches to software architecture and algorithmic challenges. Integrate MS Power BI insights into client-facing web applications to present findings effectively.