Senior AI Data Engineer
- Job ID
- 2026-3165
- # of Openings
- 1
- Category
- Architecture and Engineering
- Role type
- Permanent
- Working
- Hybrid
- Name
- Nottingham
Role Purpose
Location- Nottinghamshire, United Kingdom
Level - Experienced Professional
Department - Product R&D
Working Pattern - Remote
Benefits - Benefits at Ideagen
Salary - To be discussed at next stage
At Ideagen, we're on a mission to embed AI at the heart of our products and create smarter experiences for customers around the world.
As a Senior AI Data Engineer, you'll be at the centre of this transformation, building the data platforms, pipelines, and processes that power our AI and machine learning capabilities. You'll play a key role in turning complex, large-scale data into trusted, AI-ready assets that support intelligent automation, advanced analytics, and next-generation AI products.
This is an opportunity to work on meaningful AI challenges while helping shape the technical foundations of our AI strategy. You'll collaborate with AI engineers, software engineers, and product teams to solve complex problems, influence technical direction, and ensure our data platforms are reliable, scalable, and built for the future. Alongside hands-on technical delivery, you'll support and mentor engineers across the team, helping to raise engineering standards and drive best practices.
Responsibilities
- Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
- Owning the reliability, performance, and operational excellence of production data platforms.
- Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
- Implementing robust monitoring, alerting, testing, and data quality processes to ensure trusted datasets.
- Driving best practices in data governance, lineage, security, and dataset versioning.
- Collaborating with cross-functional teams to deliver innovative AI and data solutions.
- Mentoring engineers and contributing to engineering standards, technical direction, and continuous improvement.
Skills and Experience
- Significant experience building, scaling, and supporting production data pipelines and data platforms.
- Strong expertise in Python and SQL, with a track record of developing high-quality, maintainable solutions.
- Hands-on experience with AWS services such as S3, Lambda, Glue, Athena, and cloud-native architectures.
- Experience operating production systems, resolving complex issues, and improving platform reliability.
- Strong understanding of data quality, governance, lineage, security, and auditability.
- Experience or strong interest in AI, machine learning, MLOps or large language model technologies.
- Proven ability to influence technical decisions, mentor engineers, and drive engineering best practices.
About Ideagen
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!
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