We’re looking for an Expert Data Engineer who can navigate comfortably between SAP BW, HANA, AWS, Python, SQL and modern data engineering.

You’ll be working on the Volume & Capacity Management and QMT Frontdesk product, supporting areas such as:

• Capacity Management
  
• Complaint & Claim Management
  
• QMT Frontdesk and plant control functions
  
• Supply & Value Stream Planning
  
• Data transformation and modelling
  
• Cloud-based data processing and integration
  

This is an expert-level role, so we’re looking for someone who doesn't just follow the map, you can help draw the map when there isn't one!

What You’ll Be Doing

• Assist with migrating the product from ABW to CBW, including deployment, testing and resolving migration issues.
  
• Understand the complete solution landscape and how SAP BW, AWS, Java Frontend and Gurobi work together.
  
• Set up and support AWS processes for CRUD operations, data synchronisation and system integration.
  
• Fix, enhance and optimise existing solutions.
  
• Conduct extensive Root Cause Analysis (RCA) to get beyond the symptoms and find the real problem.
  
• Analyse complex technical issues and develop robust, sustainable solutions.
  
• Gather business requirements and translate them into detailed technical solutions.
  
• Produce clear and useful technical documentation.
  
• Work within Agile frameworks, including JIRA-based delivery.
  
• Collaborate with technical teams, business stakeholders and cross-functional teams.
  
• Provide strategic technical advice and help manage stakeholder expectations.
  
• Share knowledge and provide guidance to other team members.
  

Requirements

Must-Have Skills

SAP & Data

• SAP BW 7.5 Data Modelling
  
• SAP ABAP
  
• SQL
  
• AMDP
  
• CDS Views
  
• SAP BW on/for HANA
  
• ETL optimisation
  
• Database and Data Warehouse design principles
  

AWS

• AWS Glue / ETL
  
• AWS Step Functions
  
• AWS Lambda
  
• AWS CloudWatch
  
• AWS EventBridge
  
• Amazon S3
  
• Amazon Athena
  

Programming

• Python
  
• SQL
  
• PySpark
  

Development & Deployment

• VS Code
  
• GitHub deployments
  
• General AWS experience
  
• CDH experience
  
• Snowflake experience
  

Nice-to-Have Skills

• Statistics
  
• Mathematics
  
• Machine Learning
  
• Vehicle production processes and related data
  

• BSc Degree in Computer Science, Mathematical Statistics, Mathematics or a related field.
  
• 15+ years of relevant experience in data transformation and data modelling.
  
• Expert-level understanding of complex data environments.
  
• Proven ability to solve challenging technical problems independently.
  
• Experience guiding or supporting other technical professionals.
  

Benefits

• Cutting edge global IT system landscape and processes
  
• Flexible working of 1960 hours in a 12-month period
  
• High Work-Life balance
  
• Remote / On-site work location flexibility
  
• Highly motivating, energetic, and fast-paced working environment
  
• Modern, state-of-the-art offices
  
• Dynamic Global Team collaboration
  
• Application of the Agile Working Model Methodology