Is IT&Data; your passion? Logistic is future! Passion and your future in DSC Supply Chain Valencia center of excellence, the better place to work! Top Employer Certified Spain and Europe
https://dhl.Lookbookhq.Com/global-llp-virtual-tour/video_welcome-to-virtual-tour?lx=tPPS6e
Video 1. https://dhl.Lookbookhq.Com/general-llp-virtual-tour/video_how-a-lead-logistics-partnership-works?lx=tPPS6e
Video 2. https://dhl.Lookbookhq.Com/global-llp-virtual-tour/video_what-is-a-lead-logistics-partnership?lx=tPPS6e
Data Engineer role Purpose
Implementation and management of the LLP data analytics infrastrucuture and data products team, responsible for:
Data pre-processing, data integration and pipeline architecture
Implement of the LLP Data Products roadmap
Support Product Management of LLP Data Warehouse and data models
Align with key stakeholders to ensure project stakeholders are aligned and informed
Education & training of LLP data analyst community
Manage internal vendors who provide data products to LLP Europe
Alignment to DSC best practices on data and IT security and standards
The key responsibilities for you as IT Analyst include
To ensure that the assigned user community is functional and can operate the business with minimum disruption providing out of hours cover as required.
Undertaking general systems housekeeping.
Application functional support and L1 for all systems related issues & queries as the interface between the Business Operations management, Customers IT management and IT Team to Improve system performance/functionality & efficiencies.
Scheduling and running of Application Management routines
Ensure that DHL & Customer company policies are applied where applicable.
Training and Documentation - define requirement for and then facilitate creation and maintenance of required IT documentation. Delivery of appropriate IT training to operational super users
Work with third party service providers & partners, (both internal & external)
Requirements for the job
Mandatory requirements:
3-5 years hands on BI development experience
Advanced Power BI - Including ETL using Power Query (M-Code) and optimisation techniques.
SQL - Advanced analysis - (Oracle and Microsoft)
Familiar with Azure Data Services concepts- including Data Warehouse, Azure Data Factory, Synapse and SQL Databases.
Ability to influence people (including internal, customers and suppliers) and present information in a clear and concise way
BI solution architecture / Design & build of data models ideally (MS SQL DB / Synapse)
Preferred requirements
Experience with Data Engineering and Data Analysis.
Ability to ensure collaboration across different sectors/geographies/stakeholders/levels of seniority
Energetic, enthusiastic, results-oriented;
capable of adding significant value
Customer focused with and eye on continuous improvement and cost reduction
Flexibility to meet the needs of the business