Data Management and AI‑ML Senior Engineer

About the role

Autoliv is seeking a senior professional to lead enterprise‑grade data integration across SAP and non‑SAP landscapes. The role focuses on designing, developing, and maintaining robust data pipelines that support reporting, analytics, and digital transformation initiatives within a global automotive safety environment.

Key responsibilities

• Design, develop and maintain data integration solutions for SAP ECC, SAP S/4HANA and external systems.
• Build and optimise ETL/ELT processes using tools such as Informatica.
• Integrate SAP environments with Snowflake, Qlik, manufacturing systems, data warehouses and cloud platforms.
• Collaborate with business stakeholders and solution architects to translate data requirements into reliable solutions.
• Support data migration, harmonisation and modernisation in S/4HANA transformation programmes.
• Drive data quality improvements and contribute to enterprise data governance.
• Analyse and resolve integration issues, performance bottlenecks and data quality challenges.
• Create and maintain technical documentation, data mappings and operational procedures.

Required profile

• Bachelor’s or Master’s degree in Computer Science, IT, Data Engineering or a related field.
• Minimum 7 years of experience in enterprise data integration, SAP data management or data engineering.
• Proven expertise in SAP ECC and SAP S/4HANA data models, tables and CDS Views.
• Hands‑on experience with Informatica, Snowflake and related integration technologies.

Required skills

• SAP ECC and SAP S/4HANA data structures
• Informatica ETL/ELT
• Snowflake data platform
• Qlik (or Power BI, SAP Analytics Cloud)
• ETL/ELT framework design
• APIs and data services integration
• Cloud‑based architecture concepts