Data Engineer: Build Scalable Pipelines & AI Insights

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

Job summary

Apple is seeking a Data Engineer to design and implement scalable data pipelines for the Apple Channel Sales team in ANZSA. You will partner with cross-functional teams to deliver reliable data, enable AIML model training, and ensure governance of business metrics.

Responsibilities include building data pipelines, securing data, modelling data, and crafting a semantic layer for analytics. The role requires cloud data platform experience and a passion for innovative data solutions.

Qualifications

• Experience designing scalable analytics data architectures.
• Proficiency in SQL and at least one modern language (Python/Java/R).
• Experience with cloud data platforms and ETL pipelines.

Responsibilities

• Develop and design data integration, pipelines and ingestion processes for internal and external data.
• Architect scalable data solutions and govern data assets across org.
• Build data models and mappings to transform raw data into insights.
• Define and disseminate data architecture standards and best practices.
• Collaborate with regional and global teams, vendors and partners.
• Document data models, mappings and dictionaries, and ensure data quality.

Skills

SQL

Python

Java

R

Data modelling

Data pipelines

Tools

Snowflake

Redshift

Databricks

ETL tools

APIs

Job description

Apple is seeking a Data Engineer to design and implement scalable data pipelines for the Apple Channel Sales team in ANZSA. You will partner with cross-functional teams to deliver reliable data, enable AIML model training, and ensure governance of business metrics.

Responsibilities include building data pipelines, securing data, modelling data, and crafting a semantic layer for analytics. The role requires cloud data platform experience and a passion for innovative data solutions.