Senior AI Data Engineer

Aryan-Solutions-Pte.-Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Aryan-Solutions-Pte.-Ltd. is seeking a seasoned data platform engineer to design, build and operate scalable data pipelines and analytics solutions. You will own production pipelines, collaborate with engineers, architects, and business stakeholders, and implement secure, compliant data & AI platform systems.

Join a fast-moving team applying PySpark, Python, SQL, and modern data architectures in a cloud-first environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-8 years of experience in data engineering, data platform engineering, or cloud-scale analytics solution delivery, with ownership of production pipelines.
• Independently design, build, optimise, and operate production-grade data pipelines (batch or streaming).
• Hands-on experience with Python and SQL for data transformation and validation.
• Familiarity with Apache Spark (PySpark) and large-scale data processing concepts.
• Experience with knowledge base and RAG solutions for agentic AI use cases.
• Able to lead technical discussions with engineers, architects, product owners, source-system teams, and stakeholders.
• Strong documentation and communication skills.
• Understanding of enterprise data architecture, cloud security, access control, CI/CD, release management, and production operations for data & AI platform solutions.

Responsibilities

• Lead technical discussions with engineers, architects, product owners, source-system teams, and stakeholders to translate requirements into secure, maintainable platform solutions.

Skills

Python

SQL

Data pipelines

Cloud platforms

Documentation

Education

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

Tools

Apache Spark

PySpark

Job description

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

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.

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 with implementing knowledge base and RAG solutions for agentic AI use cases

Self‑starter with strong problem‑solving skills and a keen 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

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