AI Data Engineer

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.

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.

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• 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.
  

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.

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.

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• 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.
  

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• 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.
  

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• 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.

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.