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Urgent! Sales - Software Engineer (Data and AI Enablement), Singapore Hub Job Opening In Singapore, Singapore – Now Hiring Apple Inc.
Sales - Software Engineer (Data and AI Enablement), Singapore Hub
The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries.
It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Join Apple, and help us leave the world better than we found it.
We work in a startup atmosphere where individuals take ownership and have significant impact on the final product.We are a dynamic team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives—focused on driving innovation through product design, engineering, and portfolio management.
In our startup-like environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver.
We’re looking for a hands-on Software Engineer to build and operate the data infrastructure that powers analytics, automation, and AI across our business.
You’ll work on distributed data systems, cloud-native services, and internal tooling that makes data discoverable, trustworthy, and ready for intelligent applications.This role is part of our Singapore engineering hub and works closely with our US-based team to deliver reliable, scalable data solutions that fuel decision-making, modeling, and business operations.
Description
You’ll design and build core components of our internal data platform, spanning ingestion pipelines, semantic layers, and metadata systems.
You’ll help bridge open source technologies (e.g., Kafka, Spark, Iceberg) with our internal ecosystem—shaping how teams discover, use, and trust data for analytics and AI workloads.You’ll collaborate with other engineers, product managers, program managers, and end users to understand data needs and evolve platform capabilities that improve scale, quality, and usability.
This is a hands-on engineering role focused on systems thinking, technical craftsmanship, and delivering tools that unlock real business value.Key Responsibilities- Build scalable, cloud-native data systems that support data exploration, reporting, and production ML/AI use cases- Integrate open-source components with internal tools and APIs to streamline platform usability- Develop and maintain data ingestion pipelines, metadata services, and performance-optimized storage layers- Ensure the platform supports AI-readiness, including high-quality, discoverable, and semantically rich data- Collaborate with internal customers to understand workflows and shape new platform features- Partner with engineers, EPMs, and US-based teams to ensure alignment, reusability, and shared standards- Support production systems through monitoring, debugging, and operational improvements
Minimum Qualifications
4+ years of experience building distributed data applications or cloud-native platforms
Proficiency in Python, Scala, or Java, with experience developing scalable and maintainable systems
Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)
Experience with modern data infrastructure tools (e.g., Spark, Kafka, Airflow, Iceberg)
Understanding of BI and analytics needs, and experience building for internal business use cases
Preferred Qualifications
Experience designing and building cloud-based applications, APIs, and data services
Familiarity with AI/ML pipeline enablement (e.g., feature engineering, real-time pipelines, metadata)
Experience with Kubernetes, distributed compute frameworks, or containerized environments
Hands-on experience integrating with business intelligence or visualization tools (e.g., Streamlit, Tableau, Looker)
Exposure to anomaly detection, forecasting, or GenAI use cases and the data requirements they demand
Experience working in global teams or serving as a technical contributor in a regional hub
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Unlock Your Sales Software Potential: Insight & Career Growth Guide
Real-time Sales Software Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sales Software in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 20873 jobs in Singapore and 17603 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Sales Software roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple Inc. is currently hiring and seeking a Sales Software Engineer (Data and AI Enablement), Singapore Hub to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Sales Software Engineer (Data and AI Enablement), Singapore Hub Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sales Software Engineer (Data and AI Enablement), Singapore Hub Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sales Software Engineer (Data and AI Enablement), Singapore Hub typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Sales Software Engineer (Data and AI Enablement), Singapore Hub interview at Apple Inc., research the company, understand the job requirements, and practice common interview questions.
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