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Ideagen

Senior AI Data Engineer

Ideagen

Senior AI Data Engineer building scalable data platforms and pipelines for Ideagen’s AI-powered safety software. Developing AWS-based ETL/ELT solutions and mentoring engineering teams.

Posted 9/10/2026full-timeNottingham • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable data pipelines, with a strong focus on Python, SQL, and AWS services. Proven ability to ensure data quality, governance, and operational excellence while mentoring engineers and driving best practices in data engineering.

Highest-signal resume keywords
Python ProgrammingSQL DevelopmentAWS Services (S3, Lambda, Glue, Athena)Data Governance and QualityMLOps and AI Solutions

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentETL/ELT SolutionsCloud-Based Data TechnologiesData LineageDataset Versioning
Soft Skills
MentoringCollaborationInfluencing Technical Decisions
Tools & Technologies
AWSPythonSQL
Industry Keywords
Data GovernanceMachine LearningAI ModelsOperational ExcellenceData Quality Processes

Tech Stack

Tools & technologies
AWSCloudETLPythonSQL

About the role

Key responsibilities & impact
  • Design and build scalable data pipelines powering AI models, machine learning workflows, and intelligent product capabilities
  • Own the reliability, performance, and operational excellence of production data platforms
  • Develop ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies
  • Implement monitoring, alerting, testing, and data quality processes for trusted datasets
  • Drive best practices in data governance, lineage, security, and dataset versioning
  • Collaborate with cross-functional teams on AI and data solutions
  • Mentor engineers and contribute to engineering standards, technical direction, and continuous improvement

Requirements

What you’ll need
  • Significant experience building, scaling, and supporting production data pipelines and data platforms
  • Strong expertise in Python and SQL
  • 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

Benefits

Comp & perks
  • Benefits at Ideagen
  • Flexible arrangements
  • Work-life balance
  • Reasonable adjustments during the application process