At a Glance
- Tasks: Build reports, validate data, and support business insights using modern tech.
- Company: Join Radiant Financial, a supportive and innovative tech company.
- Benefits: Enjoy flexible working, generous holidays, and health benefits.
- Other info: Collaborative culture with clear progression and professional growth opportunities.
- Why this job: Kickstart your data career with hands-on experience and mentorship.
- Qualifications: 2:1 or above in a data-focused degree and strong analytical skills.
Location: Gateshead / North East (Hybrid)
Salary: £25,000 – £32,000 + Benefits
Kickstart Your Career in Data
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. 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:
- 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
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
Why Join Us?
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.
Graduate Data Engineer in Newcastle upon Tyne employer: Radiant Financial
Radiant Financial is an exceptional employer for graduates seeking to kickstart their careers in data. With a structured development scheme, mentorship from experienced professionals, and a supportive work culture that prioritises work-life balance and employee wellbeing, you will have the opportunity to grow your skills in a modern tech environment while making a real impact. Located in Gateshead, the hybrid working model allows for flexibility, ensuring you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer in Newcastle upon Tyne
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Radiant Financial when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Radiant Financial.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Radiant Financial.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Radiant Financial’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Radiant Financial, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Radiant Financial aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Radiant Financial
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
