Data Engineer (Expert)

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 AMDPCDS 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 Qualifications & Experience 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 #J-18808-Ljbffr Sabenza IT & Recruitment