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Day 70
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Brașov, Autoliv Europe - AEU, RO
Live, first seen by us 70 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design, develop and maintain data integration solutions across SAP and non-SAP systems
Design and optimize ETL/ELT processes, such as Informatica, for reporting and analytics
Support SAP S/4HANA transformation, including data migration and harmonization
Analyze and resolve data integration issues, interface failures and data quality problems
Create and maintain integration specifications, data mappings and operational procedures
Design, develop, and maintain enterprise-grade data integration solutions across SAP and non-SAP systems.
Design and optimize scalable ETL/ELT (like Informatica) processes supporting reporting, analytics, operational processes, and digital transformation initiatives.
Contribute to SAP S/4HANA transformation programs, including data migration, data harmonization, and business process modernization activities.
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.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 70
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
Complete your application on career.autoliv.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
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.
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.
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!
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Brașov, Autoliv Europe - AEU, RO
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