Job
- Level
- Experienced
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop data pipelines and ETL processes, drive the migration to Microsoft Fabric, integrate data from SAP systems, and optimize semantic data models for analytics and AI use cases.
Job Technologies
Your role in the team
- As a Data Engineer & Architect, you are part of the IT team at Mercedes-Benz Customer Solutions GmbH. Our team is responsible for the development and operation of our business applications, data solutions, and the underlying technical platforms, which are primarily based on Microsoft and SAP technologies.
- You shape our technical data landscape, from the integration of operational source systems to the reliable provision of data for reporting, analytics, and AI use cases. The focus is on migrating eXtollo (the cloud-based Big Data and Analytics platform developed by Mercedes-Benz) to a standardized target architecture based on Microsoft Fabric and OneLake, as well as integrating business data from SAP S/4HANA, SAP HANA, and other enterprise systems.
- You develop ETL and ELT processes, data pipelines, semantic data models, and reusable data products. You integrate SAP Datasphere as well as integration mechanisms such as APIs, OData services, and replication into the Microsoft-centric data platform as needed.
- Continuous technical involvement in the migration of eXtollo to a target architecture based on Microsoft Fabric and OneLake, including analysis, conception, implementation, quality assurance, and transition into regular operations.
- Development, enhancement, and operation of ETL, ELT, and data integration processes for data from SAP S/4HANA, SAP HANA, SAP Datasphere, eXtollo, Excel, SharePoint, and other relevant sources.
- Design and implementation of data pipelines and integrations via APIs, OData services, databases, files, and replication mechanisms to ensure reliable, traceable, and scalable data provisioning.
- Creation and optimization of semantic data models, quality-assured business objects, and reusable data products for reporting, analytics, automation, and AI use cases.
- Development of the technical foundation for a company-wide data catalog, as well as the establishment and maintenance of metadata, data descriptions, responsibilities, provenance information, and quality rules.
- Participation in the definition and implementation of technical standards for data quality, data modeling, Data Lineage, Master Data, documentation, and the lifecycle of operational data solutions in accordance with governance, compliance, and corporate requirements.
- Development of automated testing and transparent monitoring mechanisms to ensure data quality, completeness, timeliness, and technical availability.
- Analysis of existing data flows and process dependencies, as well as the identification and implementation of technical potentials to transform manual, Excel-based, and isolated workflows into integrated, data-driven, and semi-automated processes.
- Provision of consistent SAP and non-SAP business data in OneLake while preserving relevant domain semantics as a basis for current and future business processes.
- Development of the necessary data pipelines, semantic models, and data products for reporting, analytics, and AI use cases, as well as transparent mapping of data provenance and usage.
- Ensuring the stable operation of the data platform and the production data processes, including monitoring, error analysis, root cause analysis, incident and problem management, as well as performance optimization.
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Our expectations of you
Education
- Completed studies in Computer Science, Business Informatics, Data Engineering, Software Engineering, or a comparable field, or a comparable IT-related qualification with relevant practical experience.
Qualifications
- Good understanding of semantic data models, business objects, and data products, as well as the professional classification of master, transaction, and reference data.
- Knowledge of modern integration mechanisms such as APIs, OData services, and replication, as well as an understanding of their applications in hybrid SAP and Microsoft environments.
- Good understanding of data quality, metadata management, master data, data lineage, and the lifecycle of productive data solutions.
- Ability to implement technical solutions hands-on and translate architecture, security, governance, and operational requirements into a viable overall picture.
- Analytical thinking, structured problem-solving, high quality standards, as well as independent, proactive, and pragmatic working methods.
- Excellent spoken and written German and English skills - additional language skills are welcome.
Experience
- Practical experience in the development, enhancement, or operation of modern data platforms and data-driven solutions.
- Experience with Microsoft Fabric, OneLake, or comparable cloud data platforms, as well as the willingness to further develop the core Microsoft architecture of the target architecture.
- Experience with ETL and ELT processes, data pipelines, data integration, queries, data modeling, and connecting various source systems.
- Knowledge in integrating data from SAP S/4HANA and SAP HANA; experience with SAP Datasphere, SAP BW, or comparable SAP data architectures is advantageous.
- Experience with monitoring, structured error analysis, root cause analysis, and sustainable stabilization of productive data processes.
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What we offer
- This is a permanent position.
- Company pension scheme.
- Annual profit sharing depending on business success.
- Bonuses for exceptional individual achievements.
- Canteen on site.
- Childcare services and subsidies.
- Attractive annual cars available for purchase and leasing.
- Employer subsidy for asset-building benefits.
- Bonuses and special leave for service anniversaries.
- Flexible working hours and working abroad within the EU.
- Regular health days with health checks as well as free vaccinations.
- In-house company health insurance fund with attractive health promotion.
- Paid leave for important family events, such as a wedding.
- Free parking.
- Free learning opportunities.
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Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)4.4
Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Data Engineer & Architect
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
