At a Glance
- Tasks: Lead a team to build and manage AI data platforms for regulated industries.
- Company: Join Ideagen, a global leader in safety and compliance technology.
- Benefits: Flexible remote work, competitive salary, and career growth opportunities.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI while making a real-world impact on safety.
- Qualifications: Experience in data engineering, team leadership, and AWS data stacks.
The predicted salary is between 60000 - 80000 £ per year.
Location: Ruddington, Nottinghamshire
Level: Professional
Department: Product R&D
Working Pattern: Remote unless based locally
Benefits: Benefits at Ideagen
Salary: To be discussed at next stage
Mazlan+ Models is Ideagen’s programme to build domain‑specific AI models for regulated industries, where the quality of data directly determines the quality of outcomes. As AI Data Engineering Lead, you will own the data foundation every model is built on and shape how trusted AI is delivered at scale. This is a leadership role combining strategy, architecture, and governance with hands‑on impact across sourcing, transforming, versioning, and preparing high‑value regulated data for training. You will lead a growing team of data engineers and work closely with AI engineering, legal, and domain experts to ensure our models are accurate, compliant, and ready for real‑world use.
Responsibilities:
- Leading and developing a team of AI data engineers, setting clear technical standards, supporting career growth, and scaling the function as the programme grows.
- Defining the technical direction for AI data engineering, including architecture decisions, tooling choices, and delivery practices across the organisation.
- Designing and building the end‑to‑end AI data platform, from operational product data and regulatory sources through cloud storage and transformation pipelines to training‑ready datasets.
- Owning dataset versioning and lineage so every training artefact is traceable, reproducible, and auditable across the full model lifecycle.
- Building and maintaining large‑scale regulatory and operational corpora in collaboration with domain experts, ensuring data quality and consistency.
- Architecting and operating AWS‑based data infrastructure at production scale with a focus on reliability, security, and performance.
- Defining and enforcing data governance standards, including quality checks, labelling conventions, and data handling frameworks.
- Leading GDPR compliance for AI training data in partnership with Legal and ensuring best practice is embedded from the start.
Skills and Experience:
- You are a senior data engineer or technical lead with prior experience leading teams and owning large data platforms end to end.
- You have deep production experience with Python and SQL and write data transformation code that is robust, readable, and reusable.
- You have designed and run AWS data stacks at scale, including services such as S3, Glue, Athena, Kinesis, Lambda, and IAM.
- You understand ML training data pipelines and know how they differ from analytics workloads, including dataset formats, splits, and quality constraints.
- You bring strong data governance instincts and design for versioning, lineage, and auditability from day one.
- You are comfortable working with legal and compliance partners on sensitive data handling and regulatory requirements.
- You communicate clearly across disciplines and work effectively with AI engineers, product leaders, and domain specialists.
- Experience with NLP or LLM training data, data version control tools, or regulated industry software is valuable but not essential.
About Ideagen:
Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky, to ensuring the food on our tables is safe, to helping doctors and nurses care for the sick. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America, Australia, Malaysia and India with people doing lots of different and exciting jobs. We’re building a future‑ready team, and AI is part of how we work smarter. If you're curious, adaptable and open to using AI to improve how you work, you’ll thrive at Ideagen!
What is next?
If your application meets the requirements for this role, our Talent Acquisition team will be in touch to guide you through the next steps. To ensure a flexible and inclusive process, please let us know if you require any reasonable adjustments by contacting us at recruitment@ideagen.com. All matters will be treated with strict confidence. At Ideagen, we value the importance of work‑life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in, please let us know during the application process. Enhance your career and make the world a safer place!
Job Posting Title AI Data Engineering Lead in Ruddington employer: Ideagen plc
Contact Detail:
Ideagen plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Job Posting Title AI Data Engineering Lead in Ruddington
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Job Posting Title AI Data Engineering Lead in Ruddington
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Data Engineering Lead role. Highlight your experience with data platforms, AWS, and team leadership to show us you're the perfect fit!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in Python, SQL, and data governance. We want to see how you’ve made an impact!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon where possible. We appreciate clarity and want to understand your journey without any confusion.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Ideagen plc
✨Know Your Data Inside Out
As an AI Data Engineering Lead, you’ll need to demonstrate a deep understanding of data governance and quality. Brush up on your knowledge of dataset versioning, lineage, and the specific regulatory requirements relevant to the role. Be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Skills
This role involves leading a team, so be prepared to share examples of how you've successfully managed and developed teams in the past. Highlight your approach to setting technical standards and supporting career growth within your team.
✨Familiarise Yourself with AWS Tools
Since you'll be architecting AWS-based data infrastructure, make sure you’re well-versed in services like S3, Glue, and Lambda. Be ready to discuss your experience with these tools and how they can be leveraged to build scalable data platforms.
✨Communicate Clearly Across Disciplines
Effective communication is key in this role, especially when working with AI engineers and legal partners. Prepare to give examples of how you've successfully collaborated across different teams and disciplines, ensuring everyone is aligned on project goals and compliance standards.