- 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
- 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
Core Competencies
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 Programming
- SQL Development
- AWS Services (S3, Lambda, Glue, Athena)
- Data Governance and Quality
- MLOps and AI Solutions
ATS Optimization Keywords
Hard Skills
- Data Pipeline Development
- ETL/ELT Solutions
- Cloud-Based Data Technologies
- Data Lineage
- Dataset Versioning
Soft Skills
- Mentoring
- Collaboration
- Influencing Technical Decisions
Industry Keywords
- Data Governance
- Machine Learning
- AI Models
- Operational Excellence
- Data Quality Processes
Tools & Technologies
- AWS
- Python
- SQL
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Senior AI Data Engineer in Nottingham employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
