Data Management and AI-ML Senior Engineer

Autoliv; Jelcz-Laskowice; On-site; PLN 180,000 - 280,000; Full time

Job summary

Autoliv in Poland is seeking a Data Management and AI-ML Senior Engineer to lead data integration initiatives across SAP and non-SAP systems, ensuring scalable, secure data movement.

You will act as SME for SAP ECC/S/4HANA data structures, design ETL/ELT processes, and collaborate with stakeholders to deliver digital transformation through modern cloud data platforms.

The role emphasizes data quality, governance, and strong communication in a global team.

Qualifications

• Bachelor’s or Master’s degree in a related field.
• Minimum 7 years of experience in enterprise data integration, SAP data management, or data engineering roles.
• Strong knowledge of SAP ECC and SAP S/4HANA data models, tables, CDS Views, master data, and transactional data structures.

Responsibilities

• Design, develop, and maintain enterprise-grade data integration solutions across SAP and non-SAP systems.
• Act as a subject matter expert for SAP ECC and SAP S/4HANA data structures, business objects, and data flows.
• Design and optimize ETL/ELT processes (like Informatica) for reporting, analytics, and digital transformation.
• Develop and support integrations between SAP environments and enterprise platforms including Snowflake, Qlik, Informatica, and cloud solutions.
• Collaborate with business stakeholders and solution architects to understand data requirements and translate them into reliable integration solutions.
• Ensure efficient, secure, and accurate movement of data across Finance, Supply Chain, Manufacturing, Procurement, Quality, and Commercial domains.
• Support enterprise data warehousing and modern cloud data platform initiatives.
• Contribute to SAP S/4HANA transformation programs, including data migration, data harmonization, and business process modernization activities.
• Drive data quality improvements and support enterprise data governance initiatives.
• Analyze and resolve data integration issues, interface failures, performance bottlenecks, and data quality challenges.
• Create and maintain technical documentation, integration specifications, data mappings, and operational procedures.
• Provide technical guidance and knowledge sharing to project teams, support teams, and business users.
• Stay up to date with emerging technologies, industry trends, and best practices in enterprise data engineering and integration.

Skills

Data integration

ETL/ELT

APIs

Cloud architecture

Data governance

Data modeling

Stakeholder management

SAP data management

Education

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

Tools

Informatica

Snowflake

SAP ECC

SAP S/4HANA

Qlik

Power BI

SAP Data Services

SAP Integration Suite

Job description

Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. We are working to increase vehicle safety by developing seatbelts, airbags and steering wheels and you can be part of our team as

Data Management and AI-ML Senior Engineer.

Should you be interested in overseeing these tasks and aiming for enhanced performance standards, your role will involve

• Design, develop, and maintain enterprise-grade data integration solutions across SAP and non-SAP systems.
• Act as a subject matter expert for SAP ECC and SAP S/4HANA data structures, business objects, and data flows.
• Design and optimize scalable ETL/ELT (like Informatica) processes supporting reporting, analytics, operational processes, and digital transformation initiatives.
• Develop and support integrations between SAP environments and enterprise platforms including Snowflake, Qlik, Informatica, Manufacturing Systems, Data Warehouses, and cloud solutions.
• Collaborate with business stakeholders and solution architects to understand data requirements and translate them into reliable integration solutions.
• Ensure efficient, secure, and accurate movement of data across Finance, Supply Chain, Manufacturing, Procurement, Quality, and Commercial domains.
• Support enterprise data warehousing and modern cloud data platform initiatives.
• Contribute to SAP S/4HANA transformation programs, including data migration, data harmonization, and business process modernization activities.
• Drive data quality improvements and support enterprise data governance initiatives.
• Analyze and resolve data integration issues, interface failures, performance bottlenecks, and data quality challenges.
• Create and maintain technical documentation, integration specifications, data mappings, and operational procedures.
• Provide technical guidance and knowledge sharing to project teams, support teams, and business users.
• Stay up to date with emerging technologies, industry trends, and best practices in enterprise data engineering and integration.

If you have/are:

• Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field.
• Experience: Minimum of 7 years of experience in enterprise data integration, SAP data management, or data engineering roles.
• Strong knowledge of SAP ECC and SAP S/4HANA data models, tables, CDS Views, master data, and transactional data structures.
• Proven experience designing and supporting enterprise data integration solutions in complex global environments.
• Hands-on experience with Informatica, Snowflake, and related data integration technologies.
• Strong understanding of ETL/ELT frameworks, data pipelines, and enterprise data architecture principles.
• Experience working with analytics and reporting platforms such as Qlik, Power BI, SAP Analytics Cloud, or similar technologies.
• Knowledge of APIs, data services, integration frameworks, and cloud-based architectures.
• Solid understanding of master data management, data governance, and data quality best practices.
• Experience supporting SAP ECC to SAP S/4HANA migration or transformation programs is highly desirable.
• Experience in Manufacturing, Supply Chain, Automotive, or other complex industrial environments is considered a strong advantage.
• Knowledge of SAP Datasphere, SAP BW/4HANA, SAP Data Services, or SAP Integration Suite is a plus.
• Strong analytical and problem-solving skills with the ability to manage complex technical challenges.
• Excellent communication and stakeholder management skills with the ability to operate effectively in a global organization.
• Proficiency in English; additional languages are a plus.

We will be more than glad to chat with you about your experience and your career goals.

In our international work setting, you will find a range of opportunities that are designed to enhance your career and personal development. Including new and different perspectives is part of what ensures the team’s success. We are committed to develop people’s skills, knowledge and creative potential. Our training and development programs emphasize technical competency, leadership development and business management skill.

More lives saved – more life lived!