Data Engineer (Expert)
Full-time
Sabenza IT & Recruitment
Were looking for an Expert Data Engineer who can navigate comfortably between SAP BW, HANA, AWS, Python, SQL and modern data engineering.
Youll 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 were looking for someone who doesn't just follow the map, you can help draw the map when there isn't one!
What Youll 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
Vacancy posted 6 days ago
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