Senior Engineer, Data, BIA & AI

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 160,000; Full time

Job summary

ASM seeks a Senior Data Engineer to build trusted, scalable data platforms powering analytics, AI, and digital transformation across the organization.

You will integrate data from ERP, CRM, PLM, and external systems, developing governable data products to enable business and technology teams with faster, smarter decisions. Collaborative cross-domain work drives architecture reviews and governance.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Strong problem-solving

Communication

Stakeholder management

Ownership

Education

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field

Tools

SQL

Python

Apache Spark

Databricks

Data warehousing

Lakehouse architecture

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, 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.

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.