Graduate Data Engineer – Databricks & PySpark

6 Month Internship Programme (paid at UK national minimum wage)

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.

As part of this commitment, we are investing in early career talent through a structured programme designed to develop the next generation of data engineering professionals.

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:

Degree in:

• 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

Hurry & apply for an immediate discussion with our TA Team!