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- Tasks: Gain hands-on experience in data roles and contribute to real projects.
- Company: Join Datalynx, a leading UK data services provider with over 20 years of expertise.
- Benefits: Earn £30,000 pro-rata, enjoy hybrid work, and receive training and feedback.
- Why this job: Kickstart your data career with practical experience and mentorship from industry professionals.
- Qualifications: Ideal for STEM graduates or those with relevant technical qualifications or experience.
- Other info: Opportunities for growth and potential future roles based on performance.
The predicted salary is between 30000 - 30000 £ per year.
A gateway to a career in data.
Location: Hybrid (Weekly requirement onsite in London)
Salary: £30,000 pro-rata
Start Date: 1st September 2026
Duration: 4 month placement
Applications are now open for the 2026 Datalynx Academy, a four‑month paid placement designed for those starting their career in data, looking for hands‑on experience.
About Us
As part of CACI, Datalynx is a market‑leading UK data services provider with more than 20 years’ experience specialising in secure, end‑to‑end data migration, integration, data quality and data architecture solutions. We partner with public sector organisations, including the Home Office, UK police forces and law enforcement, as well as private enterprises and software vendors to solve complex data challenges with precision and confidence.
The Datalynx Academy
The Datalynx Academy is an innovative programme designed for individuals who want to gain practical experience working with data and explore potential career pathways within the field. Successful candidates will work alongside our industry professionals, gaining knowledge and insight into a range of data‑driven roles and functions while contributing to real project tasks and working across Datalynx’s current portfolios in the Home Office, policing and data migration. As part of the programme, candidates will receive access to training and regular feedback on their performance which can be used to further develop their learning and career progression. The placements issued through the Academy will comprise four months of paid employment, with a mixture of home‑based and on‑site working. Candidates will also receive pro‑rata leave calculated from an annual baseline of 25 days. The programme does not guarantee a permanent role, but strong performance may lead to further opportunities.
Who Should Apply
This is an excellent opportunity for someone serious about pursuing a data‑focussed career. We’d love to hear from you if you have either:
- A STEM degree (final year or recently graduated)
- Relevant technical qualifications
- Or transferable experience from the workplace
During the placement, you will have the opportunity to rotate across a range of data‑focussed roles including Data Migration, Data Engineering, Data/Business Analysis, Data Architecture & DevOps Engineering. The focus of your placement may evolve in line with your strengths and interests.
Essential What We’re Looking For:
- Curious problem solvers: Excited by challenges and ready to find innovative solutions.
- Motivated and eager to learn: Committed to developing new skills and growing within the team.
- Team players: Friendly and able to work collaboratively in a fast‑paced environment.
- Passionate about technology: Keeping pace with new technology trends.
Desirable Experience of the following is beneficial, but not essential:
- Microsoft 365 applications (Word, Excel, PowerPoint, Power Bi)
- Programming languages such as Python, Bash or PowerShell
- SQL or other database query languages
- Cloud platforms such as AWS or Azure
Security Clearance
Due to the industries we work in, we require all our team to be able to obtain security clearance. To qualify for this, you must be a British passport holder and have lived permanently in the UK for the last 5 years.
Recruitment Timeline
- April to May 2026: Initial telephone interviews completed.
- June 2026: Assessment day and final interviews completed.
- End of June 2026: Job offers made and accepted.
- 1st September – 31st December 2026: Placement period.
Application Process
Along with your CV, please also provide a supporting covering letter detailing:
- Why you are applying for this data‑focussed placement opportunity
- Demonstrate how your skills and experience make you a good applicant for a data‑focussed placement
- What attributes you could bring to Datalynx
Equal Opportunities
CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. At CACI, our diversity and inclusion groups provide platforms for individuals to connect and foster a sense of belonging. These groups include LGBTQ+, Women In Tech and our partnership with the National Autistic Society.
Disability Confident
Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on 020 7602 6000 to discuss individual requirements further). Offer an interview to people with health conditions and disabilities, who meet the minimum criteria for a role. Our people are unique and we encourage, and support them, to be confident in contributing to our inclusion journey.
Data Analyst (4 Month Academy Placement Scheme) in London employer: CACI Digital Experience (formerly Cyber-Duck)
Contact Detail:
CACI Digital Experience (formerly Cyber-Duck) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (4 Month Academy Placement Scheme) in London
✨Tip Number 1
Network like a pro! Reach out to current or former Datalynx Academy participants on LinkedIn. Ask them about their experiences and any tips they might have for you. Building connections can give you insider info and make your application stand out.
✨Tip Number 2
Prepare for the assessment day! Brush up on your data skills and be ready to showcase your problem-solving abilities. Practise common data analysis scenarios and think about how you can demonstrate your curiosity and eagerness to learn during the interviews.
✨Tip Number 3
Show your passion for technology! Keep up with the latest trends in data and tech. Mention any relevant projects or tools you've worked with in your conversations. This will show that you're not just looking for a job, but genuinely interested in a career in data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Datalynx team. Don’t forget to tailor your cover letter to highlight why you’re a perfect fit for this placement!
We think you need these skills to ace Data Analyst (4 Month Academy Placement Scheme) in London
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to explain why you're excited about this data-focused placement and how your skills align with what we're looking for. Be genuine and let your passion for data come through!
Tailor Your CV: Don't just send the same CV to everyone! Tailor it to highlight your relevant experience and skills that match the job description. We want to see how you can contribute to our team, so make it clear!
Show Off Your Curiosity: We love curious problem solvers! In your application, share examples of how you've tackled challenges or learned new things in the past. This will show us that you're motivated and eager to grow with us.
Apply Through Our Website: Make sure to apply through our website for the best chance of being noticed! It’s the easiest way for us to keep track of your application and ensure it gets to the right people.
How to prepare for a job interview at CACI Digital Experience (formerly Cyber-Duck)
✨Know Your Data
Brush up on your data knowledge! Familiarise yourself with key concepts in data migration, integration, and analysis. Be ready to discuss how you've used data in your studies or previous roles, and think of examples that showcase your problem-solving skills.
✨Show Your Curiosity
Datalynx is looking for curious problem solvers. Prepare questions about the company’s projects and the technologies they use. This shows you're genuinely interested and eager to learn, which is exactly what they want in a candidate.
✨Highlight Teamwork Experience
Since teamwork is crucial in this role, think of specific instances where you collaborated effectively with others. Whether it was a group project at university or a team effort in a previous job, be ready to share how you contributed and what you learned from the experience.
✨Tailor Your Application
When writing your covering letter, make sure to connect your skills and experiences directly to the job description. Highlight your passion for technology and any relevant technical qualifications. This personal touch can really make you stand out!