Junior Data Engineer

We're recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in its cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional looking to build a career in data engineering, working with modern Azure technologies and large-scale business data. You'll work alongside experienced data and BI professionals to develop and maintain data pipelines, integrate data from a variety of systems, and help deliver trusted, high-quality data for reporting and business decision-making. The role offers exposure to modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression. Key Responsibilities * Build and support ETL/ELT data pipelines using modern cloud technologies. * Assist with integrating and transforming data from multiple business systems. * Help maintain a scalable, secure, and reliable data platform. * Develop data quality checks, monitoring, and automated testing processes. * Work closely with BI and business teams to ensure data is accurate and accessible. * Document data processes, transformations, and technical solutions. * Contribute to the ongoing development of data architecture and best practices. Skills & Experience * Degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related subject, or equivalent commercial experience. * Good SQL skills and experience with Python or another programming language. * Understanding of databases, data modelling, and ETL/ELT concepts. * Interest in cloud data technologies and modern data platforms. * Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. * Strong analytical, problem-solving, and communication skills. What's on Offer * Opportunity for graduates and junior-level candidates. * Structured learning and mentoring from experienced data professionals. * Hands-on experience with modern Azure data technologies. * Clear progression pathways within data engineering and cloud data platforms. * Hybrid working model, with remote working also considered for the right candidate. * Competitive salary and excellent long-term development opportunities