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For Companies At a Glance
- Tasks: Build and optimise data pipelines for cutting-edge AI model training.
- Company: Join Digital Futures, a pioneering tech company in the AI space.
- Benefits: Enjoy tailored professional development, competitive salary, and flexible holidays.
- Why this job: Make a real impact in a rapidly growing AI environment.
- Qualifications: 4+ years in tech/data with strong leadership and collaboration skills.
- Other info: Hybrid working model with a focus on diversity and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
AI Data Engineer at Digital Futures
Digital Futures is undertaking a planned recruitment programme to strengthen how we design, build and scale AI systems for major private and public sector organisations in the UK. We are making multiple appointments across engineering, product, data, architecture, assurance and security to meet confirmed demand and to deepen our delivery capacity.
What we do
Move AI from exploration to production. We deliver agentic automation, AI-assisted decisioning, GenAI platforms and the data foundations that make them resilient, governable and cost-effective.
How we work
- Enterprise-grade delivery: cloud-native platforms, MLOps, security and responsible AI embedded from the outset.
- Outcome accountability: clear success metrics, business adoption plans and post-go-live support.
- Disciplined build: small, senior-lean teams with clear ownership and standards.
Professional development
Every joiner participates in Frontier AI – our structured development pathway that builds both domain knowledge and technical depth. Expect assessed learning, targeted certifications and progression based on contribution and impact.
Role Overview
Build and maintain scalable, secure, and optimized data pipelines to enable cutting-edge AI model training and inference. Collaborate with data scientists and engineers to ensure reliable data flow and governance essential for AI applications.
Key Responsibilities
- Create and optimize ETL pipelines using big data and cloud technologies like Spark, Databricks, and Airflow.
- Manage data ingestion, transformation, and validation processes ensuring data quality and compliance.
- Implement data governance and security policies in collaboration with cross-functional teams.
- Monitor data infrastructure health and troubleshoot performance bottlenecks.
- Document architectures and workflows.
Requirements
- 4+ years experience working within technology and/or data.
- Stakeholder management.
- Strong team leadership and management skills.
- Experience with several of the following technologies, including: Cloud-native platforms (AWS, Azure, GCP), big data ecosystems, pipeline orchestration, data security and governance, strong collaboration, attention to detail, problem-solving mindset.
What\’s in it for you
- Tailored professional development plan and upskilling.
- Ability to make an impact at Digital Futures while it is in a period of accelerated growth.
- Access to our employee benefits, discounts and perks platform.
- Pension contributions.
- Wellbeing budget.
- Competitive salary.
- Flexible holiday allowance on successful completion of probation.
- Hybrid working model with required office working days.
All candidates must have the right to work in the UK and will be expected to work from the office 4-days a week.
About Digital Futures
We are a new breed of technology services company, built for the age of AI. We partner with leading enterprises and governments to reimagine workforce strategy, combining three integrated services: Build – Our Future Talent programme identifies, trains, and deploys the next generation of diverse technology and AI professionals; Deliver – Our Expert Teams accelerate delivery and transfer knowledge in mission-critical environments; Transform – Our Workforce Upskilling solution benchmarks capability and equips employees to harness AI and emerging technologies with confidence.
Digital Futures is an equal opportunity employer, and we\’re proud of our ongoing efforts to foster diversity and inclusion in the workplace. Individuals seeking employment at Digital Futures are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Digital Futures may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
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AI Data Engineer employer: Digital Futures
Contact Detail:
Digital Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Digital Futures.
We think you need these skills to ace AI Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Data Engineer. Highlight your experience with cloud technologies and data pipelines, and don’t forget to mention any relevant projects that showcase your skills in building scalable systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with our mission at Digital Futures. Be sure to mention specific technologies you’ve worked with that are relevant to the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can demonstrate a strong problem-solving mindset, especially when it comes to data governance and security.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Digital Futures
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Spark, Databricks, and Airflow. Brush up on your cloud-native platforms knowledge too, whether it’s AWS, Azure, or GCP. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled performance bottlenecks or data quality issues in the past. Digital Futures values a problem-solving mindset, so be ready to share specific scenarios where you’ve made a significant impact through your analytical skills.
✨Emphasise Collaboration
Since the role involves working closely with data scientists and engineers, highlight your experience in cross-functional teams. Share stories that demonstrate your ability to communicate effectively and manage stakeholder expectations, as this is crucial for success in their environment.
✨Understand Data Governance
Familiarise yourself with data governance and security policies. Be prepared to discuss how you’ve implemented these in previous roles. Showing that you understand the importance of compliance and data integrity will resonate well with the interviewers at Digital Futures.
