AI Data Engineer
- nottingham, nottinghamshire, NG1 3BG, United Kingdom
- Permanent·Remote
- Full time
- £68,000 - £68,000 Per Annum
Job Description
About the Role
Our client is seeking a proficient AI Data Engineer to join their innovative team, supporting operations remotely. You will play a crucial role in designing, building, and maintaining the data pipelines and infrastructure necessary to support our AI and machine learning initiatives. This role requires a strong understanding of data processing, storage, and management, ensuring that high-quality, reliable data is readily available for our data scientists and ML engineers. If you are passionate about data architecture and enabling AI advancements through robust data solutions, this is an excellent opportunity to make a significant impact in a remote setting.
Key Responsibilities
- Design, construct, install, and maintain scalable data pipelines for AI and ML applications.
- Develop and manage ETL/ELT processes to ingest, transform, and prepare data for analysis and model training.
- Optimize data storage and retrieval systems for performance and efficiency.
- Collaborate with data scientists and ML engineers to understand their data requirements and provide solutions.
- Implement data quality checks and monitoring to ensure data integrity and reliability.
- Ensure data security and compliance with relevant regulations.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience in data engineering, with a focus on supporting AI/ML projects.
- Proficiency in SQL and experience with relational and NoSQL databases.
- Strong programming skills in Python or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud data platforms (e.g., AWS, Azure, GCP).
- Familiarity with data warehousing concepts and data modeling techniques.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and company pension plan.
- Opportunities for professional development and advanced training.
- Fully remote work arrangement with flexible hours.


