Junior Data Engineer

• 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.

Technologies:

• Azure
• Cloud
• Databricks
• ETL
• Fabric
• Support
• Python
• SQL

• 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.

We are recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in our cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional to build a career in data engineering, working with modern Azure technologies and large-scale business data. We offer structured learning and mentoring from experienced data professionals, hands-on exposure to modern Azure data technologies, clear progression pathways within data engineering and cloud data platforms, a hybrid working model with remote working considered for the right candidate, and competitive salary with excellent long-term development opportunities.