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.