- Support leadership in managing internal and external resources and overseeing larger implementation projects.
- Identifying required data sources based on business requirements, knowledge of business processes and systems used.
- Creating data ingestion pipelines from source systems (ERP or cloud SaaS solutions) into a central data warehouse (snowflake)
- Designing and implementing data transformation pipelines within the data warehouse to a target data model, consumable by BI reporting applications
- Defining a reusable and robust data model (star/snowflake schema)
- Further improving and extending a common data integration framework
- Debugging and optimization of existing pipelines
- Automating testing procedures to ensure proper data quality.
- Data Management (DWH and Data Lake architectures with snowflake, Azure Data Lake Store)
- Data Modeling (e.g. Inmon, Kimball, Data Vault etc.)
- ETL/ELT design (with tools such as dbt, Talend etc.)
- Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics, ...)
- DevOps (Continuous Integration / Delivery, testing automation, Azure DevOps, Git(-hub)
- Proven track record in partnering with the business to extract value from data.
- Working with data ingested from systems such as SAP (ECC or S4), Salesforce, Tagetik, ProAlpha
- Data Engineering (Python / pySpark, SQL)
- Security (Active Directory, Application Gateway, Key Vault, Virtual Networks, Network Security Groups)
- BI reporting tools, like QlikView/QlikSense, PowerBI
- Opportunities for growth and for self-development
- Being part of a successful and innovative company in an international environment
- Benefits and premiums for long term service
- 1 Day remote work possible
- Private health insurance
Senior Data Engineer for BI - Valencia, España - medmix
Descripción
Job DescriptionFor our BI & Analytics team we are looking for a Senior Data Engineer for BI & Analytics
who will be responsible for the design and implementation of reusable and optimized end-to-end data pipelines partnering with internal technical and business stakeholders. You will work closely with the business teams to gather functional requirements, develop data models & design proposals, implement, and test solutions.
Bachelor's or master's degree in computer science, Engineering, Data Science, Data Engineering or similar field
4+ years hands-on experience around:
Experience in the following fields will be considered as strong assets:
Big-picture thinker with positive attitude while maintaining an attention to detail.
Experienced in managing vendors/partners as well as projects from PoC to scalable solution.
Problem solving skills and capabilities to explain complex situations in an easy and understandable manner.
Project Management skills are a big plus.
Experience working with agile methodologies such as Scrum, SAFe etc.
Team player and motivational capabilities.
Fluent in English.
Additional InformationWhat you can expect from us: