Graduate Data Engineer

📋 Description Pipeline development: build and maintain data pipelines to ingest, clean, and move data. Data integration: onboard new data sources and ensure clean, consistent data. Transformation and modelling: turn raw data into structured datasets. Monitoring and reliability: keep pipelines running and flag issues early. Quality assurance: check for anomalies and validate schemas. Automation and documentation: streamline data processes with automation and faster workflows. 🎯 Requirements Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field. Some exposure to Python or SQL through studies or projects. A keen eye for detail and a passion for getting data right. Comfortable picking up new tools, platforms and technical concepts quickly. Proactive and inquisitive, happy to ask questions and figure things out. You thrive when working as part of a team and are comfortable in a fast-paced environment. 🎁 Benefits Private Health Care (Bupa) Hybrid Working (3 days in office) Travel Insurance Competitive Base Salary Company Bonus Scheme Paid for AI Subscription (Claude / ChatGPT / Gemini)