Engineering
Data Engineer
Summary
The Data Engineer will build and maintain data pipelines and models for ambulance operations across Europe and the US. The role also involves integrating operational data and contributing to AI solutions.
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Opportunity summary
Employment type: Full time. Remote: Hybrid. Requisition: 1383. Data Engineer – Junior/mid-level Requirements description Experience & track record - Experience in data engineering.
- Experience working closely with Business Analysts to transform defined business requirements into robust, scalable, and high-quality data solutions. - Experience taking on more complex tasks with guidance and support from senior team members.
- A strong interest in business operations and how data can be used to improve performance – for example fleet, rostering, dispatch, or response data – or a willingness to develop that understanding quickly. - Comfortable working with stakeholders and data sources across multiple countries and time zones. - Familiarity with implementing AI solutions and creating applications for AI use cases is a plus.
Skills & capabilities - Experience with Python and SQL - Experience in our core technical stack:
- Azure, Databricks, PySpark, Azure Data Factory.
- - Ability to build and maintain data pipelines for various common data sources, including operational systems that differ between countries.
- - A good understanding of data modeling concepts and their practical application, including harmonising similar data from different operating models into common models.
- - You are comfortable using CI/CD pipelines for deployment and have a pragmatic approach to troubleshooting1 …
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