Senior Data Engineer (mwd)

Posted

9/25/2024

Role

Data Engineer

Location

Germany

Remote

Discuss with client

Project Description

Your tasks will include programming, implementing, and customizing technical components in applications based on the utilized technologies, including relevant interfaces, modules, and databases while adhering to the client's standards. You will also be responsible for debugging issues identified during testing phases, documenting technical components, creating system documentation, integrating data from various sources, developing data pipelines for data ingestion and processing, implementing ELT processes using SAP BODS, establishing and optimizing databases and data processing processes including automation and scaling, implementing Cloud Data Platforms like Azure, Synapse, and AWS, designing data models for data storage, and enforcing data governance and security policies. The ideal candidate should possess a solid IT strategy consulting background in the BI and DWH domain, extensive knowledge of BI and DWH development and architecture, significant experience in Application Management with specialized expertise in SAP BODS (SAP Data Services Certification), proficiency in Cloud-Data Platform implementation (Azure, Synapse), expertise in Data-Vault and DWH automation, familiarity with agile methodologies like SCRUM, and ideally, relevant experience in the transportation and logistics sector, specifically in vehicle maintenance, ideally within the rail industry.

Skills

ProgrammingImplementationCustomization of technical components in applications based on the utilized technologies including corresponding interfacesmodules and associated databases while adhering to client standardsTroubleshooting in applications/components from testing phasesDocumentation of technical components and creation of system documentationData integration from various sources and development of data pipelines for data acquisition and processingImplementation of ELT processes (SAP BODS)Building and optimizing databases and data processing processes including automation and scalingImplementation of Cloud Data Platforms (AzureSynapseAWS)Data model development for data storage and implementation of Data Governance and Security policiesCreation of data visualizations and reportsas well as APIs and data integration in applications.
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