Technology Enterprise Data Graduate Programme 2027

Investment2020; Greater London; Hybride; GBP 30 000 - 38 000; Plein temps

Résumé du poste

Fidelity Platforms is seeking high-potential graduates to join its Technology Enterprise Data Graduate Programme 2027 as part of the Investment20/20 initiative, based in London. You will work across software engineering, data, cloud and cybersecurity, contributing to secure, scalable technology that supports Fidelity's investment and retirement services worldwide.

As a graduate, you'll experience structured learning, hands-on delivery, and AI-enabled tools, with mentoring and a focus on building

Qualifications

• Strong interest in data, AI and emerging technologies.
• Analytical and problem-solving abilities.
• Aptitude for technology and data; coding skills are a plus.
• Willingness to challenge existing ways of working and learn.
• Ability to connect data and technology to business outcomes.
• Enjoy collaborating across teams.

Responsabilités

• Contribute to design, development, testing and deployment of software, data, cloud and security solutions.
• Apply modern engineering practices and AI-powered tools to improve productivity and analytics.
• Collaborate with stakeholders and influence technical decisions in agile teams.
• Support delivery of customer-focused technology solutions.

Connaissances

data, AI and emerging technologies

analytical and problem-solving skills

technology and data aptitude

coding or engineering skills an;advant

collaborating across teams

Description du poste

Technology Enterprise Data Graduate Programme 2027

You will join as part of the Investment20/20 programme.

Title:Fidelity Platforms Graduate

Department: Platforms

Who we are:

We’ve been helping clients plan and invest for their futures for over 50 years. From more than 25 locations around the world, we provide investment services and retirement expertise to everyone from central banks to private individuals.

We’re known for acting with integrity and thinking for the long-term. And across our organisation, we foster a welcoming, caring and inclusive culture where people feel respected, trusted and able to be themselves.

The Team you will join:

Fidelity Platforms is the engine that powers Fidelity's global business, bringing together technology, digital, cybersecurity, data and platform capabilities to deliver innovative, scalable and secure solutions for our customers and associates worldwide. Operating across multiple global locations, our teams work together to build and support the platforms, products and services that enable Fidelity's investment, retirement and workplace businesses.

By combining engineering excellence, modern technology practices, AI-enabled innovation and a customer-first mindset, Fidelity Platforms plays a critical role in driving Fidelity's digital transformation, enhancing client experiences and supporting long-term business growth. As a graduate, you'll join a collaborative global community with opportunities to contribute across software engineering, data, cloud, cybersecurity and technology transformation initiatives while developing the skills needed to shape the future of financial technology.

What you’ll be doing:

Working as part of agile technology teams, you'll contribute to the design, development, testing and deployment of innovative solutions across software engineering, data, cloud, cybersecurity and various technology domains. You'll apply modern engineering practices to solve real business challenges, leverage AI-powered tools to enhance productivity and contribute to the delivery of secure, scalable and customer-focused technology solutions. As your experience grows, you'll collaborate with stakeholders, influence technical decisions and help shape the future of technology at Fidelity.

The difference you’ll make:

As your skills, confidence, and functional expertise grow, you’ll become increasingly involved in key decisions that help our customers achieve their investment and financial planning goals. Through hands-on experience, you’ll build deep knowledge of the industry, products, and customer needs, enabling you to make a meaningful impact. You’ll also provide invaluable support to your team, contributing insights and expertise while continuing to develop your professional capabilities.

How you’ll be supported:

Our Graduate Programme is designed to provide a strong foundation for a successful career in technology through a combination of structured learning, hands-on experience and continuous support. From day one, you'll participate in a comprehensive induction and technology bootcamp that helps you build core capabilities across software engineering, data, cloud, cybersecurity and modern delivery practices, while also developing the professional skills needed to thrive in a collaborative environment. A key focus of the programme is building AI Fluency, equipping graduates with the ability to responsibly leverage AI-powered tools to enhance productivity, accelerate software development, improve analysis and solve real business challenges. As you progress, you'll apply these skills in agile delivery teams, working on live projects that create tangible business value while gaining exposure to a variety of technology disciplines.

Beyond technical development, you'll benefit from ongoing training, leadership interactions, networking opportunities and workshops focused on communication, adaptability and personal effectiveness. Support is embedded throughout the experience, with dedicated managers, mentors and buddies helping you navigate your career journey, while a vibrant early careers community provides opportunities to build lasting professional networks. By the end of the programme, you'll have developed both the technical expertise and AI-enabled ways of working needed to succeed in an increasingly technology-driven world, with access to continued learning and career opportunities across Fidelity.

What we look for:

We are looking for graduates to help accelerate FIL’s enterprise data journey, combining data, technology and AI to solve real enterprise problems. The focus is on strengthening our data foundations while finding smarter, more automated ways of working – using AI to accelerate the data journey, not just preparing data for AI.

We’re looking for people who:

• Are curious about data, AI and emerging technologies
• Bring strong analytical and problem-solving skills
• Have an aptitude for technology and data, with coding or engineering skills an advantage
• Are comfortable challenging existing ways of working, experimenting and learning
• Can connect data and technology to meaningful business outcomes
• Enjoy collaborating across teams to solve problems

Graduate focus areas – Enterprise Data Foundations:-

• AI to accelerate the data journey – identify and prototype where AI and automation can materially reduce the effort and time required to establish our data foundations, including metadata discovery, classification, lineage, quality, ownership and documentation. Use AI to accelerate the data journey, not just prepare data for AI.
• Trusted data foundations – help strengthen the fundamentals across priority enterprise data: ownership and accountability, taxonomy and glossary, metadata, lineage and data quality. Focus on establishing these consistently and finding smarter ways to evidence and maintain them.
• Enterprise data products & reuse – support priority data products and help mature how data is made discoverable, trusted, reusable and consumable across organisational boundaries rather than repeatedly recreated within individual teams.
• Information & unstructured data – support our growing information-management agenda, including understanding, classifying and governing unstructured information and exploring how AI can accelerate discovery, classification, retention and remediation.
• Strategy, insight & measurement – bring external thinking into the evolution of the Enterprise Data Strategy, particularly how AI is changing data management, while establishing measures that show whether FIL's data

• Department: Technology , Technology and Data