Open roleExternal
AI Data Engineer
- norwich, norfolk, NR1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £68,000 - £68,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled AI Data Engineer to join their innovative team, working entirely remotely. You will be responsible for building and maintaining the data infrastructure that powers our client's artificial intelligence initiatives. This includes designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with AI researchers and data scientists to ensure data is clean, accessible, and optimized for machine learning tasks. This role offers the opportunity to work on challenging data problems, leverage cutting-edge technologies, and contribute significantly to the success of AI projects from a remote location, offering great flexibility and autonomy.
Key Responsibilities
- Design, build, and manage robust and scalable data pipelines for AI/ML applications.
- Develop and optimize data architectures and databases to support large-scale data processing.
- Ensure data quality, integrity, and accessibility for data scientists and engineers.
- Implement data governance and security best practices.
- Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure.
- Collaborate with AI teams to understand their data needs and provide efficient solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience as a Data Engineer or in a similar role focused on data infrastructure.
- Proficiency in SQL and experience with NoSQL databases.
- Strong programming skills in languages like Python or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.
- Familiarity with cloud environments and data services.
Benefits
- Fully remote position with a flexible work schedule.
- Competitive salary and comprehensive benefits package.
- Opportunities to work with leading AI technologies and methodologies.
- Generous professional development budget.
- Collaborative and supportive virtual team environment.