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.
Knowledge of Git, APIs or basic software development practices.
Relevant entry-level Microsoft, Databricks or cloud certifications.
What you can expect
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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