Senior AI & Data Engineer: Scalable Analytics & Pipelines

Morgan McKinley; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Morgan McKinley in Singapore is seeking a Senior AI / Data Engineer to design, build, and optimize high-throughput data architectures supporting scalable analytics, network telemetry processing, and AI/RAG applications.

You will work with data scientists, analysts and system owners to translate complex business needs into robust, secure data pipelines, tackling batch and streaming workloads with Hadoop, Spark, and Airflow.

Qualifications

• Bachelor's degree in a technical field is required.
• 5 to 8+ years of hands-on data engineering experience.
• Strong scripting and data processing capabilities using Python, PySpark, and SQL.

Responsibilities

• Design and build batch and streaming data pipelines for high-volume datasets.
• Integrate network telemetry and business data across APIs and databases.
• Automate workflows and ensure data security and metadata governance.
• Collaborate with data scientists and analysts to enable AI/visualization and reporting.

Skills

Python

PySpark

Advanced SQL

Education

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

Tools

Hadoop

Cloudera

Apache Spark

Apache Airflow

Job description

Morgan McKinley in Singapore is seeking a Senior AI / Data Engineer to design, build, and optimize high-throughput data architectures supporting scalable analytics, network telemetry processing, and AI/RAG applications.

You will work with data scientists, analysts and system owners to translate complex business needs into robust, secure data pipelines, tackling batch and streaming workloads with Hadoop, Spark, and Airflow.