Graduate Data Engineer

Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector. Our mission is to accelerate the adoption of AI across the sector by creating the most complete, unbiased and transparent public benchmarks of AI capability. Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in financial services.

Why join us:

• We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world.
• We are building a cutting-edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.
• We’ve been backed by some of the world’s leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway.
• We’re working with some of the world's largest banks, helping them shape their AI strategies impacting millions of customers.

If you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI. Our commitments to diversity and inclusion are set out at the end of this job description.

The Role

This role offers outstanding graduates and early-career candidates the opportunity to begin their career in data engineering within a fast-paced, entrepreneurial environment. You’ll work primarily within our Data Engineering team, while also gaining exposure to Data Science and Data Analytics through cross-functional projects. You’ll help build the infrastructure, pipelines and tooling that underpin Evident’s research, benchmarks and client products. Over time, you’ll develop hands-on experience working with large datasets, automation workflows and modern cloud tooling, while building a strong understanding of how data supports AI strategy at the world’s largest financial institutions. You’ll work closely with engineers, analysts and data scientists across the business, gaining exposure to the full lifecycle of data products - from collection and transformation through to analysis and delivery.

Examples of the work you’ll be across:

• Data Pipelines & Automation: You’ll support the development and maintenance of data pipelines, automation workflows and ETL processes that power our products and internal operations.
• Web Scraping & Data Collection: You’ll help collect structured and unstructured data from a variety of sources, including websites, APIs and internal datasets.
• Cloud Data Infrastructure: You’ll gain experience working with modern cloud tooling and databases, helping maintain scalable and reliable data systems.
• Cross-Team Rotations: You’ll have opportunities to work on projects with our Data Science and Data Analytics teams, gaining exposure to machine learning workflows, analytics projects and index production processes.
• Process Improvement & Internal Tooling: You’ll contribute to internal tooling, documentation and process improvements that help the wider data team work more efficiently.

Core Skills:

• 2026 STEM graduate or 0-2 years experience in data engineering, software engineering or a related technical role.
• Experience programming in Python or another modern programming language.
• Familiarity with SQL and working with datasets.
• Strong problem-solving skills and attention to detail.
• Eagerness to learn modern data engineering tooling and cloud technologies.
• Comfortable working collaboratively in cross-functional teams.
• Excellent written and verbal communication skills.
• Proactive, with an eagerness to take ownership and learn quickly.
• An interest in AI, data infrastructure and emerging technologies.

Nice to have:

• Experience with cloud platforms such as GCP, AWS or Azure.
• Familiarity with GitHub or version control tools.
• Experience with web scraping, APIs or automation projects.
• Exposure to databases, ETL pipelines or orchestration tools.
• Personal, academic or internship projects involving data engineering or software development.

If you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless.

Benefits:

• Share options: we offer all employees share options over a 4 year vesting period.
• Holidays: 28 days of holiday + public bank holidays.
• Flexible working: 3-4 days per week in our Central London office, 1-2 days remote.
• Learning & development budget: £1000/year.
• Pension.
• Private health insurance.

Our commitments to diversity and inclusion:

Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.