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Senior Data Engineer, Business Intelligence and AI

ASM

On-site
Singapore
Full-time
Senior
Staff
8+ yrs
Salary not listedPosted 33m ago

Real job — pulled straight from ASM’s careers page · Verified September 21, 2026 · No reposts.

Job description

ASM is hiring a Senior Data Engineer, Business Intelligence and AI — a full-time, based in Singapore role. Apply directly on ASM's careers page below.

Senior Engineer, Data, BIA & AI

Location: Singapore

Department: SU5.Digital Transformation

 

Step into a career with ASM, where cutting edge technology meets collaborative culture.

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.

Job's mission

As a Senior Data Engineer, you will build trusted, scalable data platforms that power analytics, AI, and digital transformation across ASM. You will integrate data from key enterprise systems and turn it into reliable, governed data products for business and technology teams. Working with architects, analysts, AI teams, and stakeholders, you will help shape the data foundation behind faster decisions and smarter operations. 

What you will be working on

  • Design, build, and maintain scalable batch and real-time data pipelines.
  • Integrate data from ERP, CRM, PLM, supply chain, manufacturing, service, and external systems.
  • Develop reusable ingestion patterns, APIs, connectors, and engineering standards.
  • Build curated, governed data products that enable analytics, AI, and self-service reporting.
  • Improve data quality, lineage, metadata, reliability, performance, and security.
  • Collaborate with stakeholders, architects, analysts, data scientists, and AI engineers to deliver production-ready solutions.
  • Collaborate with junior engineers and contribute to architecture reviews, technical governance, and delivery planning.
  • Ensure platform reliability, performance, scalability, and security.
  • Participate in project planning, estimation, and technical governance activities. 

What we are looking for

  • Minimum Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field.
  • Minimum 8+ years of experience in data engineering or related disciplines.
  • Experience building enterprise-scale data platforms in complex global environments.
  • Strong skills in SQL, Python, Apache Spark, Databricks, data warehousing, and lakehouse architecture.
  • Experience with ELT/ETL, data modeling, data integration, APIs, and cloud data services.
  • Familiarity with databases such as SQL Server, Oracle, PostgreSQL, or Azure SQL.
  • Experience working in Agile teams with Git, CI/CD, and automated testing practices.
  • Strong problem-solving, communication, stakeholder management, and ownership skills. 

What sets you apart

  • Databricks or Azure Data Engineer certification.
  • Experience with Delta Lake, Azure Data Factory, Data Mesh, or data product operating models.
  • Experience integrating data from SAP S/4HANA, Salesforce, Teamcenter, Ariba, Kinaxis, MES, or service lifecycle platforms.
  • Experience supporting AI, machine learning, or generative AI workloads.
  • Knowledge of semiconductor manufacturing processes.
  • Experience with master data management, data governance, metadata, or lineage. 

 

Apply today to be part of what’s next.

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.


ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.

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Frequently asked questions

What skills are required for Senior Data Engineer, Business Intelligence and AI at ASM?

The required skills for Senior Data Engineer, Business Intelligence and AI at ASM include: SQL, Python, Spark, Databricks, Data Warehousing, ETL, API, SQL Server, Oracle, PostgreSQL, Agile, Git, CI/CD, Salesforce, Machine Learning, Generative AI.

What is the seniority level for Senior Data Engineer, Business Intelligence and AI at ASM?

Senior Data Engineer, Business Intelligence and AI at ASM is a Senior / Staff level position.

How do I apply for Senior Data Engineer, Business Intelligence and AI at ASM?

You can view the full description and apply for Senior Data Engineer, Business Intelligence and AI at ASM on EchoJobs: https://echojobs.io/job/asm-senior-engineer-data-bia-ai-wynki.