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For Companies At a Glance
- Tasks: Transform raw financial data into clean, structured systems and build scalable data infrastructure.
- Company: Join a dynamic team in London focused on innovative data solutions for the financial sector.
- Benefits: Enjoy hybrid work flexibility, mentorship, and hands-on experience with cutting-edge technologies.
- Why this job: Make a real impact by turning complex data into actionable insights while growing your skills.
- Qualifications: 0-2 years of experience in data engineering or software development; strong Python and SQL skills.
- Other info: Collaborative environment with excellent career growth opportunities and direct mentorship from experts.
The predicted salary is between 28800 - 48000 £ per year.
Graduate Data Engineer
📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience
Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems?
We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer, and the rest working remotely — giving you the best of both worlds.
You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems, and deploy solutions that scale.
In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry.
What’s in it for you?
📄 Data That Matters – Work on pipelines and systems that turn complex financial data into structured insights.
⚙ Hands-On Engineering Experience – Learn the full data workflow — from ingestion to cloud deployment and monitoring in production.
📈 Mentorship & Growth – Work directly with a Senior Data Engineer who will guide your technical and career development.
🤝 Collaborative Environment – Partner with engineers, data scientists, and domain experts to solve real-world challenges.
🏢 Hybrid Flexibility – Work remotely while spending 2 days per week in the office for collaboration and learning.
What We’re Looking For:
- 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!).
- Solid Python and SQL skills.
- Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.).
- Understanding of ETL/ELT processes and database fundamentals.
- A motivated, proactive mindset with a strong desire to learn and grow.
Nice to Have:
- Exposure to data pipeline tools (e.g. Apache Airflow, dbt).
- Experience with containerisation tools like Docker.
- Familiarity with version control and CI/CD practices.
- Knowledge of BI tools (Looker, Tableau, or similar).
If you’re excited to grow your career in data engineering and want to build scalable systems entirely on Google Cloud — we’d love to hear from you.
Apply now and start your journey as a Graduate Data Engineer.
Data Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at industry events. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or cloud platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practising with friends or using mock interview platforms can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the job description. We want to see your Python and SQL skills shine, so don’t hold back on showcasing any projects or internships you've done!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about data engineering. Share your motivation for applying and how you see yourself growing in this role. We love hearing about your curiosity and eagerness to learn!
Showcase Your Projects: If you've worked on any data-related projects, make sure to mention them! Whether it’s a personal project or something from your studies, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Intellect Group
✨Know Your Tech
Brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in projects or internships. If you’ve dabbled with Google Cloud Platform, make sure to mention it — they’ll want to know how familiar you are with tools like BigQuery and Dataflow.
✨Understand ETL Processes
Since the role involves building ETL pipelines, be prepared to explain what ETL/ELT means and how you’ve applied these processes in your work. Think of specific examples where you transformed raw data into structured insights, as this will show your practical understanding.
✨Show Your Curiosity
This position is all about learning and growth, so don’t hesitate to express your eagerness to develop your skills. Ask insightful questions about the team’s current projects or the technologies they use. This shows that you’re not just interested in the job, but also in contributing to their success.
✨Collaborative Mindset
Highlight any experience you have working in teams, especially in collaborative environments. Discuss how you’ve partnered with others to solve problems or complete projects. This will resonate well, as they value teamwork and mentorship in their hybrid setting.
