2027 Technology Graduate Programme - AI-Native Data Platform Engineering

TD Global Finance Unlimited Company; Dublin; On-site; EUR 45,000 - 55,000; Full time

Job summary

TD Bank Group is launching a 12-month graduate programme in Dublin focused on AI-native data platform engineering. You will work on LLMs, MCP, RAG, and data products to enable self-service analytics and AI-enabled workflows.

The role blends software development with data engineering in a collaborative, fast-paced environment. You will design AI-ready capabilities, build APIs, and contribute to governance, security, and platform maturation while learning modern cloud-native technologies and best

Qualifications

• Recent graduate (2026) or upcoming 2027 graduate with a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a related field.
• Passion for solving business problems using data and AI.
• Strong curiosity and willingness to explore emerging technologies.
• Excellent communication and collaboration skills.
• Comfortable working in a fast-paced environment with a bias toward learning and experimentation.
• Interest in understanding both technology and business domains.
• Strong analytical, problem-solving, and debugging skills.
• Programming experience in Java, Python, JavaScript, or C#.
• Understanding of APIs and modern software development principles.
• Basic SQL and data modelling knowledge.
• Familiarity with Git and collaborative software development practices.
• Interest in AI, machine learning, large language models, or intelligent systems.
• Knowledge of data engineering concepts and distributed data processing.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Familiarity with Databricks, Spark, Dremio, or similar analytics platforms.
• Understanding of vector databases and semantic search concepts.
• Experience building APIs using Spring Boot, FastAPI, or similar frameworks.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Passion for creating intuitive user experiences and self-service platforms.
• Interest in Data Mesh, data products, data governance, and AI-enabled analytics.

Responsibilities

• Design and build AI-ready data platform capabilities enabling self-service data discovery and usage.
• Develop AI agents and MCP-based integrations that allow users to interact with data products using natural language.
• Collaborate with domain owners to understand their data products and create intelligent experiences that simplify data consumption.
• Build APIs, services, and automation frameworks that expose data and business capabilities to AI agents and applications.
• Contribute to the development of Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Assist in building and maintaining scalable data pipelines and cloud-native data services.
• Create proof-of-concepts exploring emerging technologies in AI, data engineering, and developer productivity.
• Partner with platform users to understand pain points and improve platform usability and adoption.
• Develop tools that help users discover datasets, understand lineage, definitions, ownership, and usage patterns.
• Support the implementation of governance, security, and access controls for AI-enabled solutions.
• Participate in platform monitoring, debugging, testing, and continuous improvement activities.
• Contribute to technical documentation, architecture reviews, and knowledge-sharing initiatives.
• Apply engineering best practices including clean code, automated testing, CI/CD, and secure software development.
• Continuously research emerging AI and data technologies and evaluate their relevance to the platform.

Skills

Java

Python

JavaScript

C#

APIs

Git

SQL

Cloud platforms

Data engineering

AI/ML interest

Education

Bachelor's or Master's in CS/Software Eng/Data Eng/AI

Tools

Spring Boot

FastAPI

Databricks

Spark

Azure

AKS

Dremio

REST/gRPC

Kafka

Job description

Work Location

Dublin, Ireland

Hours

35

Line of Business

Technology Solutions

Base Pay Details

50,000 - 50,000 EUR

Job Description

2027 Technology Graduate Programme – AI-Native Data Platform Engineering

Internship Overview

• Contract Type: Full-time, 12-Month Graduate Programme
• Dates: July 2027
• Location: Dublin Office: 1 Molesworth Street

Eligibility

Candidates must have an unrestricted right to work in Ireland throughout the entire duration of the internship.

Team Overview

The TDS Data Platform Engineering team is building the next generation of data platforms where data products, AI agents, and self-service analytics work together to help users discover, understand, and consume data more effectively. Our mission is to provide a scalable, secure, and AI-ready data platform that empowers domain teams to build and own data products while enabling consumers to interact with data through modern experiences such as AI agents, natural language interfaces, and intelligent automation. As a Graduate Analyst or a 6-month Intern, you will help shape how AI and data platforms converge. You will work on technologies such as Large Language Models (LLMs), Agentic AI, Model Context Protocol (MCP), data products, APIs, cloud-native platforms, and analytics solutions. You will collaborate with domain owners, data engineers, application teams, and platform engineers to create innovative solutions that make data easier to discover, understand, and use. We are a highly collaborative team that values curiosity, experimentation, continuous learning, and delivering business value through simple, scalable, and user-centric solutions.

How you will Contribute

• Help design and build AI-ready data platform capabilities that enable self-service data discovery and usage.
• Develop AI agents and MCP-based integrations that allow users to interact with data products using natural language.
• Collaborate with domain owners to understand their data products and create intelligent experiences that simplify data consumption.
• Build APIs, services, and automation frameworks that expose data and business capabilities to AI agents and applications.
• Contribute to the development of Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Assist in building and maintaining scalable data pipelines and cloud-native data services.
• Create proof-of-concepts exploring emerging technologies in AI, data engineering, and developer productivity.
• Partner with platform users to understand pain points and improve platform usability and adoption.
• Develop tools that help users discover datasets, understand lineage, definitions, ownership, and usage patterns.
• Support the implementation of governance, security, and access controls for AI-enabled solutions.
• Participate in platform monitoring, troubleshooting, testing, and continuous improvement activities.
• Contribute to technical documentation, architecture reviews, and knowledge-sharing initiatives.
• Apply engineering best practices including clean code, automated testing, CI/CD, and secure software development.
• Continuously research emerging AI and data technologies and evaluate their relevance to the platform.

Key Technologies

• AI Agents, Agentic Workflows, and Model Context Protocol (MCP) Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Prompt Engineering Java (Spring Boot) for APIs and backend services Python for data engineering, automation, analytics, and AI solutions Apache Spark and Dremio for large-scale data processing and data products Azure Data Platform Ecosystem including Databricks, AKS, ADLS, ADF, and Azure AI Services Vector Databases and Semantic Search technologies REST APIs, gRPC, and Event-Driven Architectures Kafka for real-time data movement GitHub, GitHub Actions, Jira, and Confluence Observability platforms such as Dynatrace and Datadog Security, Governance, and Data Catalog technologies

Who we are looking for

• Recent graduate (2026) or upcoming 2027 graduate with a Bachelors or Masters degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a related field.
• Passion for solving business problems using data and AI.
• Strong curiosity and willingness to explore emerging technologies.
• Excellent communication and collaboration skills.
• Comfortable working in a fast-paced environment with a bias toward learning and experimentation.
• Interest in understanding both technology and business domains.
• Strong analytical, problem-solving, and debugging skills.
• Programming experience in one or more languages such as Java, Python, JavaScript, or C#.
• Understanding of APIs and modern software development principles.
• Basic SQL and data modelling knowledge.
• Familiarity with Git and collaborative software development practices.
• Interest in AI, machine learning, large language models, or intelligent systems.
• Previous experience with the below considered an asset: Experience with Generative AI, LLMs, RAG, AI Agents, or MCP.
• Knowledge of data engineering concepts and distributed data processing.
• Exposure to cloud platforms such as Azure, AWS, or GCP.o
• Familiarity with Databricks, Spark, Dremio, or similar analytics platforms.
• Understanding of vector databases and semantic search concepts.
• Experience building APIs using Spring Boot, FastAPI, or similar frameworks.o
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Passion for creating intuitive user experiences and self-service platforms.
• Interest in Data Mesh, data products, data governance, and AI-enabled analytics.

Corporate Profile - TD Bank Group

Headquartered in Toronto, Canada, with more than 85,000 employees in offices around the world, The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD offers a full range of financial products and services more than 25 million customers worldwide through three key business lines: Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance (Canada), TD Wealth (Canada), TD Direct Investing and TD Insurance U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in TD Ameritrade Wholesale Banking including TD Securities TD Securities is a leading global corporate and investment bank, delivering capital markets products, advisory services, trading expertise and market insights to corporate, government and institutional clients worldwide. Operating in 30 cities across the globe, we combine deep industry knowledge, innovation and global connectivity to help clients achieve their ambitions. Through our offices in London, Dublin and Belfast, we support clients across the UK, Ireland and Europe while leveraging the strength of our global platform and expertise. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day. Inclusiveness At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs. Who We Are TD Securities is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary and several other key plans such as health and well-being benefits, including medical coverage, paid time off, career development, and reward and recognition programs. Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock your future opportunities. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation If you require an accommodation for the recruitment / interview process (including alternate formats of materials or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs. US Labor & Employment Posters | California Privacy | Accessibility | FAQ Our Values At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture. Our Commitment to Diversity, Equity, and Inclusion At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve. Helping to Make an Impact in Communities – TD Ready Commitment TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities. Learn more: Canada | US | Europe & Asia Pacific