AI Data Engineer

Positions: 2 full-time roles

Experience: 5–10 years

Job Description

Essential Requirements

Education and qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.

Work experience

• 5–8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with demonstrated ownership of production pipelines and platform components.

Technical and professional skills

Please meet at least three of the following requirements:

• Proven ability to independently design, build, optimise, and operate production-grade batch or streaming data pipelines, including orchestration, observability, error handling, performance tuning, and operational support.
• Hands-on experience with Python and SQL for data transformation and validation.
• Familiarity with Apache Spark, especially PySpark, and large-scale data processing concepts.
• Experience implementing knowledge base and RAG solutions for agentic AI use cases.

Non-technical and soft skills

• Self-starter with strong problem-solving skills and attention to detail.
• Able to work independently and lead technical discussions with engineers, architects, product owners, source-system teams, and business stakeholders to translate requirements into secure and maintainable platform solutions.
• Strong documentation and communication skills.

Other task-specific knowledge

• Strong understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data and AI platform solutions.