Graduate Data Engineer

This is a genuine graduate development opportunity with hands-on experience, mentoring, and a clear pathway into Data Engineering / Analytics Engineering. If you're curious, analytical, and motivated to learn quickly, we would love to hear from you. What You'll Gain

• A structured graduate development scheme with clear progression

• Mentorship from an experienced Senior Data Engineer

• Early responsibility with real business impact

• A defined pathway into Data Engineering or Analytics Engineering

• Exposure to a modern tech stack including: SQL, Python, Power BI, Microsoft Fabric and Azure About the Opportunity You will begin with broad exposure across data systems, including testing, validation and analysis, before progressing into a more specialised data role. This approach builds a strong foundation and sets you up for long-term success. What We're Looking For Essentials, * Build and maintain reports and dashboards used across the business

• Write SQL (and develop Python and DAX skills) for reporting and data extraction

• Perform data quality checks and reconciliations across key datasets

• Investigate discrepancies and ensure data accuracy and reliability

• Test and validate reports, data models and system changes

• Support KPI and management information reporting for stakeholders

• Document data definitions and reporting logic

• Assist with data ingestion and transformation within Microsoft Fabric

• Contribute to automation and continuous improvement initiatives Why Join Us?

• 2:1 or above in a numerate or data-focused degree (e.g. Computer Science, Data Science, Mathematics, Statistics, Engineering)

• Strong analytical and problem-solving skills

• Working knowledge of SQL (joins, filters, aggregations)

• Understanding of relational databases and structured data

• Good Excel skills

• High attention to detail and commitment to data accuracy

• Strong communication skills, both technical and non-technical

• A proactive attitude with a genuine desire to learn Desirable:

• Experience with Power BI or similar reporting tools

• Basic knowledge of Python or DAX

• Exposure to Azure, Microsoft Fabric or cloud data platforms

• Awareness of data quality processes, validation or testing

• Experience or interest in financial services or regulated environments

We believe people do their best work when they feel supported, valued, and part of a positive culture. At Radiant, you'll benefit from: Work-life balance: Early finish every Friday at 2:15pm, plus flexible hybrid working, with only one day in the office required. Generous holiday package: 28 days annual leave + bank holidays, plus your birthday off. Financial security: 4x salary death-in-service cover, up to 5 years income protection, and 5% employer-matched pension contributions. Health & wellbeing: MediCash benefits including 24/7 GP access, mental health support, and retail discounts. Professional growth: Ongoing training and career development through the Radiant Academy. Friendly team culture: Join a collaborative, approachable group of professionals who value both excellence and support. Ready to Apply? If you are a graduate looking to build a long-term career in data, apply now and join a team where you can learn quickly, grow your skills, and make an impact from day one