Data Engineering Graduate Programme - September 2027 intake

At EY, we’reall in to shapeyour future with confidence.

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

Join EY and help tobuild a better working world.

Are you ready to shape the future with confidence?

Whether you’regraduating soon, have recently graduated, or are starting out in yourdataengineering career, you won’tjust find opportunities here, you will help to shape them.

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

Consultingat EY goes beyond what many people traditionally associate with a Big 4 firm. As part of our DataEngineering team, you’llwork on complex business and technology challenges, designing, buildingand scaling modern solutions that help organisations grow, transform and adapt in a rapidly changing world.

At EY, your career in DataEngineeringstarts with real impact from day one. You’llhave the opportunity to build a career as unique as you are, supported by EY’s global scale, inclusive cultureand innovative AI-driven technology. From your first day, you’llbe encouraged to bring your ideas, curiosity and engineering mindset to help clients moderniseplatforms, unlock value from dataand deliver intelligent, scalable solutions.

If you’remotivated, eager to learn and excited about building technology that matters, we’dlove to hear from you.

What’sin it for you:

• From day one, you’llwork on real client challenges not from the sidelines, but as part of the teams designing, buildingand delivering engineering outcomes.

• You’llcontribute todigitalplatforms, applications, data solutionsand AI-enabled products, seeing the impact of your work firsthand, faster than in many traditional career paths.

• You’llwork across different industries, clientsand projects, gaining exposure to software engineering, cloud platforms, customer technology, enterprise data, low-code solutions, AI engineeringand intelligent automation.

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

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

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

• You’llhave the opportunity to deepen your expertisethrough specialised learning, certificationsand hands-on project experience in your chosen area.

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

Programme overview

Engineering digital, data, cloudand AI solutions that help clients transform.

We work with clients to solve complex business and technology challenges by designing, buildingand scaling modern solutions. Our teams combine engineering, platform, dataand 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 datasolutions

• 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 pipelinesto ingest, transformand integrate data from multiple sources.

• Assistin building modern data platforms, data warehousesand lakehousesolutions.

• Develop and optimisedata transformations using SQL, Pythonand related technologies.

• Support data modellingand preparation of data for reporting, analyticsand AI use cases.

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

• Assistwith testing, troubleshootingand improving the performance and reliability of data solutions.

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

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

What welookfor

We’relooking for engineers who are curious, drivenand ready to learn fast in a collaborative delivery environment:

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

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

• Basic knowledge of SQL and relational databases.

• Familiarity with Python or another programming language.

• Understanding ofdatabases, data modellingand ETL/ELT concepts.

• Interestin cloud technologies, data engineering, analyticsand AI.

• Strong analytical and problem-solving skills.

• Good communicationskills and ability to work effectively within a team.

• Willingness to learn new technologiesand work across different client environments.

It Will Be aPlus If You Have

• Exposure toMicrosoft Fabric, Azure, Databricks or Power BI.

• Experience through university projects, internshipsor personal projects involving data.

• Understanding ofdata warehouses, data lakes or lakehousearchitectures.

• Knowledge of Git, APIsor basic software development practices.

• Relevant entry-level Microsoft, Databricks or cloud certifications.

What you can expect

At EY, we’lldevelop you with future-focused skills and equip you with world-class experiences. We’llempower you in a flexible environment, andfuel 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

• ProvidentFund

• PrivateMedicaland LifeInsurance

• Flexible working arrangements (hybrid work and flexible work schedule)

• Fridayafternoonoff

• EY Tech MBA and EY MSc in Business Analytics

• EY Badges- digitallearningcertificates

• Mobility programs (if interested to work abroad)

• PaidSickLeave

• PaidPaternityLeave

• Yearlywellbeingdaysoff

• Maternity, Weddingand 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, societyand 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, strategyand 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.