At a Glance
- Tasks: Join our Graduate Data Engineering Internship to tackle real-world data challenges using Databricks and PySpark.
- Company: UST is a global leader in digital transformation with a focus on data engineering and analytics.
- Benefits: Gain hands-on experience, mentorship, and support for certifications while working in a hybrid environment.
- Other info: Structured training programme with excellent career progression opportunities across the UK.
- Why this job: Launch your career in data engineering with exposure to cutting-edge technologies and live projects.
- Qualifications: Recent graduates with a passion for data engineering and basic programming knowledge.
The predicted salary is between 25000 - 32000 € per year.
Location: Leeds (Hybrid)
About UST – Data Services
UST is a global digital transformation organisation with deep capabilities across data engineering, cloud, analytics, and AI. Our Data Services practice is focused on building modern, scalable data platforms that enable organisations to derive meaningful insights and accelerate innovation.
Graduate Data Engineering Internship Programme
Our Graduate Data Engineering Internship Programme is a structured, performance driven initiative designed to transition high potential graduates into industry ready data engineers. You will gain hands on experience with enterprise tools including Databricks and PySpark, while working on real world data engineering challenges aligned to client delivery environments. This is an opportunity to build a long term career in Data & Analytics within UST, with exposure to live projects, modern data platforms, and experienced engineering teams.
Programme Structure
- Phase 1 – Foundation & Training (First 3 Months)
You will undergo an intensive, hands on training programme covering:
- Core Data Engineering principles and lifecycle
- Data warehousing, analytics, and data modelling fundamentals
- Python programming for data processing
- PySpark for large scale data transformation
- Databricks platform, including architecture, notebooks, and Delta Lake
- Introduction to Gen AI and AI enabled data engineering workflows
- Best practices in data pipelines, performance optimisation, and data quality
- Practical, end to end case studies replicating real delivery environments
- Phase 2 – Project Experience (Next 3 Months)
Subject to performance, you will:
- Be assigned to client aligned or internal innovation projects
- Work alongside experienced Data Engineers and delivery teams
- Apply Databricks and PySpark in real world scenarios
- Gain exposure to enterprise platforms and Agile delivery models
Progression to Phase 2 is strictly performance based.
What You Will Gain
- Practical understanding of the end to end data engineering lifecycle
- Hands on experience building scalable data pipelines
- Exposure to cloud based data platforms and enterprise delivery environments
- Structured support towards Databricks and cloud certifications
- Mentorship from experienced data engineering professionals
- Opportunity to transition into client facing data engineering roles across the UK
What We’re Looking For
We are looking for motivated, curious, and technically driven graduates who are passionate about building a career in data engineering.
What You Will Bring
Recent graduates (within the last 12 months)
Educational Background:
- Computer Science
- Information Technology
- Data Science
- Engineering disciplines
- Or any relevant scientific field with high analytical capability
Preferred Skills:
- Basic knowledge of Python or programming concepts
- Interest in Data Engineering, Big Data, and Cloud technologies
- Exposure to SQL, data processing, or analytics (desirable)
- Excellent analytical thinking and problem-solving ability
- High learning agility and adaptability
Key Expectations:
- Full time commitment to the programme, based in Leeds
- Active participation in all training, labs, and assessments
- Demonstration of professionalism, ownership, and learning discipline
- Adaptability to be deployed to client projects across the UK following the programme
Graduate Data Engineer – Databricks & PySpark in Leeds employer: TargetJobs UK
UST is an exceptional employer for aspiring data engineers, offering a structured Graduate Data Engineering Internship Programme in the vibrant city of Leeds. With a strong focus on hands-on training and real-world project experience, employees benefit from mentorship by seasoned professionals, exposure to cutting-edge technologies like Databricks and PySpark, and opportunities for career progression within a supportive and innovative work culture. The hybrid work model further enhances work-life balance, making UST a compelling choice for graduates eager to launch their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer – Databricks & PySpark in Leeds
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the data engineering field on LinkedIn. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those using Python, Databricks, or PySpark. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate Data Engineer – Databricks & PySpark in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate Data Engineer role. Highlight any relevant projects or coursework, especially those involving Python, data engineering, or analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for data engineering. Share why you're excited about this opportunity at UST and how your background makes you a great fit for the team.
Showcase Your Technical Skills:If you've got experience with Databricks, PySpark, or any data-related tools, make sure to mention them! We love seeing candidates who are eager to dive into the tech we use every day.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at TargetJobs UK
✨Know Your Tech
Make sure you brush up on your knowledge of Python, Databricks, and PySpark. Familiarise yourself with the basics and be ready to discuss how you've used these tools in your studies or projects. Showing that you can talk confidently about technical concepts will impress the interviewers.
✨Show Your Passion for Data Engineering
Express your enthusiasm for data engineering and the technologies involved. Share any personal projects or experiences that sparked your interest in this field. This will help demonstrate your motivation and commitment to building a career in data engineering.
✨Prepare for Problem-Solving Questions
Expect to face some analytical or problem-solving questions during the interview. Practice thinking through problems out loud, as this shows your thought process. Use examples from your academic work or internships to illustrate how you approach challenges.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask the interviewers. Inquire about the projects you'll be working on, the team dynamics, or opportunities for growth within the company. This not only shows your interest but also helps you gauge if the role is the right fit for you.
