Senior Data Engineer I, Data, BIA & AI

About the role

As a Senior Data Engineer I at ASM, you will build trusted, scalable data platforms that power analytics, AI and digital transformation. 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.

Key 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 enabling 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 on production-ready solutions.
• Work with junior engineers on architecture reviews, technical governance and delivery planning.
• Take part in project planning, estimation and technical governance.

Required profile

• 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 problem-solving, communication, stakeholder management and ownership skills.

Required skills

• SQL, Python, Apache Spark, Databricks, data warehousing and lakehouse architecture.
• ELT/ETL, data modeling, data integration, APIs and cloud data services.
• Databases such as SQL Server, Oracle, PostgreSQL or Azure SQL.
• Agile teams, Git, CI/CD and automated testing.
• Nice to have: Databricks or Azure Data Engineer certification; Delta Lake, Azure Data Factory, Data Mesh or data product operating models; SAP S/4HANA, Salesforce, Teamcenter, Ariba, Kinaxis, MES or service lifecycle platforms; AI, machine learning or generative AI workloads; semiconductor manufacturing knowledge; master data management, data governance, metadata or lineage.