Are you looking to kickstart your career in data engineering?
In partnership with a multinational insurance company, we’re offering you the unique opportunity to start your career as a data engineer. This programme offers 8 weeks of free training at the Digital Futures Academy, followed by a role as a data engineer with one of the UK’s leading insurance companies in Norwich.
Digital Futures - About Us
Discover more about who we are, what we do and why our mission is so pivotal to Digital Futures.
Please note that the training period is unpaid.
Your Journey with Digital Futures
1. Training
Your journey begins with 8 weeks of free, full-time, award-winning training at our Academy. You’ll learn from our expert instructors and build practical skills across data engineering, AI, AWS and Snowflake. The Academy combines structured, industry-led learning with hands-on projects, helping you put what you learn into practice and build confidence along the way.
What you’ll learn:
Technical Skills
Coding fundamentals (Python, SQL)
Data modelling and data warehousing
Extract-Transform-Load (ETL)
Creating data pipelines
Ethics in data and AI
Cloud and big data technologies (AWS, Snowflake, PySpark)
Working with unstructured data
Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini)
Consulting Skills
Effective teamwork
Business acumen
Time management
Stakeholder management
Presentations
Agile methodology
Being a brand ambassador
Interview technique
During the Academy, you’ll work to achieve the AWS Data Engineer Associate certification. Digital Futures covers the cost of your certification. Please note that you must successfully pass your certifications to secure your role with our client.
2. Employment
After you have successfully completed the Academy and passed your certifications, you will be employed by Digital Futures as a consultant and deployed to a multinational insurance company, based in Norwich. In your role, you will be working in a multi-cloud environment, building data pipelines, handling ETL development and ensuring data quality for predictive analytics, pricing and operations.
You’ll work alongside experienced data scientists, analysts and business stakeholders to ensure high-quality, well-documented data is available where and when it’s needed and your work will directly influence how customers are served.
After 12-18 months, you may be offered the opportunity to become a permanent employee at the client. However, this is not guaranteed.
What We’re Looking For
You don’t need a traditional background in technology or any formal experience. We look for potential, not perfection. We’re looking for people who:
Stay curious and love learning new things
Communicate clearly and work well with others
Like to solve challenging problems
Have a genuine interest in a career in data
Have done some self-learning in coding or data
Take initiative and make things happen
Adapt quickly when things change
Can commute or relocate to Norwich
Key Programme Information
Training: 8 weeks, full-time, Monday to Friday, 9am-5pm.
Key dates:
Training begins on Monday 9th November 2026.
There will be a one-week break over the Christmas period from 25th January. Training will resume on Monday 4th January.
Location:
The training is delivered almost entirely remotely.
Our client is based in Norwich. You must be willing to commute or relocate to Norwich to qualify for this opportunity.
Employment: You’ll become a permanent Digital Futures employee once you successfully pass a client interview.
Salary: £27,500 per annum plus benefits once deployed. Please note that the training period is unpaid.
Eligibility: You must have an unrestricted right to work in the UK for the duration of the programme and your employment with Digital Futures. This can be demonstrated through one of the following: a UK Passport, settled or pre-settled status, or indefinite leave to remain (ILR).
How to Apply
Our admissions process is designed to assess both your technical potential and the qualities needed to succeed in the Academy and beyond.
Application form: Complete a straightforward online application form.
Online Assessment: Complete maths, foundational Python and written challenges to demonstrate your current skills, problem-solving ability and potential to learn.
Screening Interview: A two-way conversation where we’ll have a chance to get to know you and you to get to know us.
Final Interview: Meet one of our instructors and demonstrate your technical knowledge, problem-solving approach and readiness for the Academy.
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(This means that we will supply feedback if requested after an interview.)
