Graduate Data Engineer
Why This Role Stands Out
Embark on a rewarding career path with Radiant Financial's Graduate Data Engineer role, offering a competitive salary and a structured development program with clear growth potential into specialized data roles. You'll thrive here if you possess a curious, analytical mindset and a drive to learn, benefiting from a supportive team and exposure to modern technologies in a hybrid work environment. Apply today to kickstart your journey in data!
Quick Overview
Job Description
Graduate Data Analyst<br />Location: Gateshead / North East (Hybrid)<br />Salary: £25,000 – £32,000 + Benefits<br />Kickstart Your Career in Data<br />Radiant Financial are building a modern data platform (Project Helios on Microsoft Fabric) and we're looking for a Graduate Data Analyst to join our growing Technology & Data team.<br />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.<br />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<br />About the Opportunity<br />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.<br />What We're Looking For<br />Essentials:
- 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<br />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<br />What You'll Be Doing
- 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<br />Why Join Us?<br />We believe people do their best work when they feel supported, valued, and part of a positive culture. At Radiant, you’ll benefit from:<br />Work-life balance: Early finish every Friday at 2:15pm, plus flexible hybrid working, with only one day in the office required.<br />Generous holiday package: 28 days annual leave + bank holidays, plus your birthday off.<br />Financial security: 4x salary death-in-service cover, up to 5 years income protection, and 5% employer-matched pension contributions.<br />Health & wellbeing: MediCash benefits including 24/7 GP access, mental health support, and retail discounts.<br />Professional growth: Ongoing training and career development through the Radiant Academy.<br />Friendly team culture: Join a collaborative, approachable group of professionals who value both excellence and support.<br />Ready to Apply?<br />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
Skills
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