AI Data Engineering Lead

🕒 April 30

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ideagen

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

⚡ Productivity

B2B • Productivity • Software

Ideagen is a company specializing in email management solutions, particularly designed for Outlook users in project-based industries. Their flagship product, Ideagen Mail Manager, helps organizations streamline email communications, enhance productivity, and mitigate risks associated with lost or mismanaged information. By providing tools for efficient filing, searching, and controlling project correspondence, Ideagen aims to support businesses in transitioning to paperless workflows and improving overall operational efficiency.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Benefits at Ideagen