Time since we first saw it
Day 38
Similar jobs usually come down between day 6 and day 54.
At ASM, jobs usually come down by about day 83.
From 11,511 similar postings that came down, and 6 of ASM’s. Coming down is not always a hire.
Senior Engineer I, Data, BIA & AI
Singapore
Live, first seen by us 38 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and maintain scalable batch and real-time data pipelines
Integrate data from ERP, CRM, PLM, supply chain, manufacturing and service systems
Develop reusable ingestion patterns, APIs, connectors, and engineering standards
Build curated, governed data products for analytics, AI, and self-service reporting
Improve data quality, lineage, reliability, performance, and security
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field.
- Experience with Delta Lake, Azure Data Factory, Data Mesh, or data product operating models.
- 8+ years of experience in data engineering or related disciplines.
- Experience integrating data from SAP S/4HANA, Salesforce, Teamcenter, Ariba, Kinaxis, MES, or service lifecycle platforms.
- Experience building enterprise-scale data platforms in complex global environments.
- Experience supporting AI, machine learning, or generative AI workloads.
Qualification wording
Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field.
Experience with Delta Lake, Azure Data Factory, Data Mesh, or data product operating models.
8+ years of experience in data engineering or related disciplines.
Experience integrating data from SAP S/4HANA, Salesforce, Teamcenter, Ariba, Kinaxis, MES, or service lifecycle platforms.
Experience building enterprise-scale data platforms in complex global environments.
Experience supporting AI, machine learning, or generative AI workloads.
Education & alternatives
What we are looking for - Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field. - 8+ years of experience in data engineering or related disciplines.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 202638 days ago
- Recorded sightings
- 86
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ASM is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Oracle
- PostgreSQL
- SAP
- Spark
- SQL Server
Where the posting names them
- 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.
- 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.
What sets you apart - Databricks or Azure Data Engineer certification. - Experience with Delta Lake, Azure Data Factory, Data Mesh, or data product operating models.
- 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 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.
Your next step
Complete your application on www.asm.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 I, 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
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field.
- 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.