Data Engineering Graduate Programme - September 2027 intake

Location: Nicosia, Cypr, CY

Data Engineering Graduate Programme - September 2027 intake

Location

Nicosia

Other locations

Primary Location Only

Date

Nov 5, 2026

Requisition ID

1758876

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Are you ready to shape the future with confidence?

Whether you’re graduating soon, have recently graduated, or are starting out in your data engineering career, you won’t just find opportunities here, you will help to shape them.

The opportunity: Kick-start your career in EY Data Engineering

Consulting at EY goes beyond what many people traditionally associate with a Big 4 firm. As part of our Data Engineering team, you’ll work on complex business and technology challenges, designing, building and scaling modern solutions that help organisations grow, transform and adapt in a rapidly changing world.

At EY, your career in Data Engineering starts with real impact from day one. You’ll have the opportunity to build a career as unique as you are, supported by EY’s global scale, inclusive culture and innovative AI-driven technology. From your first day, you’ll be encouraged to bring your ideas, curiosity and engineering mindset to help clients modernise platforms, unlock value from data and deliver intelligent, scalable solutions.

If you’re motivated, eager to learn and excited about building technology that matters, we’d love to hear from you.

What’s in it for you

From day one, you’ll work on real client challenges not from the sidelines, but as part of the teams designing, building and delivering engineering outcomes.

You’ll contribute to digital platforms, applications, data solutions and AI-enabled products, seeing the impact of your work firsthand, faster than in many traditional career paths.

You’ll work across different industries, clients and projects, gaining exposure to software engineering, cloud platforms, customer technology, enterprise data, low-code solutions, AI engineering and intelligent automation.

You will build hands-on experience in how modern engineering teams design, develop, test and scale solutions in real business environments.

Supported by experienced teams and continuous learning, you’ll quickly develop the technical, engineering and consulting skills needed to help clients build modern, resilient and intelligent technology solutions.

You’ll combine real client work with structured development, building your technical and consulting skills across areas like software engineering, cloud, platforms, enterprise data, AI and automation.

You’ll have the opportunity to deepen your expertise through specialised learning, certifications and hands-on project experience in your chosen area.

Our approach combines work and structured learning, including classroom sessions, online training and self‑study. Balancing study with project work can be challenging, but you’ll be supported throughout. You’ll learn alongside your cohort, building strong relationships, while experienced teams guide you at every step.

Programme overview

Engineering digital, data, cloud and AI solutions that help clients transform.

We work with clients to solve complex business and technology challenges by designing, building and scaling modern solutions. Our teams combine engineering, platform, data and AI capabilities to create practical outcomes for clients, and we are looking for engineers who want to be part of that journey.

Our engineering teams deliver services across

Digital engineering

Cloud engineering

Customer technology

Software engineering

No-code and low-code AI and data

Enterprise data solutions

AI-enabled automation platforms

Enterprise transformation platforms

Key programme facts

Programme length: 2 years (Permanent contract)

Professional qualification: Specialised training and certification in your chosen area

Start date: September 2027

Key responsibilities

Support the design and development of data pipelines to ingest, transform and integrate data from multiple sources.

Assist in building modern data platforms, data warehouses and lakehouse solutions.

Develop and optimise data transformations using SQL, Python and related technologies.

Support data modelling and preparation of data for reporting, analytics and AI use cases.

Work with cloud and data technologies such as Microsoft Fabric, Azure and Databricks.

Assist with testing, troubleshooting and improving the performance and reliability of data solutions.

Work alongside Data Engineers, Data Architects, Analysts and client teams to understand requirements and translate them into technical solutions.

Keep up to date with emerging technologies and modern data engineering practices.

What we look for

We’re looking for engineers who are curious, driven and ready to learn fast in a collaborative delivery environment:

A degree or equivalent experience in Computer Science, Data Science, Computer Engineering, Information Systems or related fields.

0–2 years of experience through internships, academic projects, bootcamps or entry-level roles in engineering, software, data or technology

Basic knowledge of SQL and relational databases.

Familiarity with Python or another programming language.

Understanding of databases, data modelling and ETL/ELT concepts.

Interest in cloud technologies, data engineering, analytics and AI.

Strong analytical and problem-solving skills.

Good communication skills and ability to work effectively within a team.

Willingness to learn new technologies and work across different client environments.

It Will Be a Plus If You Have

Exposure to Microsoft Fabric, Azure, Databricks or Power BI.

Experience through university projects, internships or personal projects involving data.

Understanding of data warehouses, data lakes or lakehouse architectures.