As an Analytics Engineer, you will contribute to building a data platform for 2000 colleagues and the clients they treat within a healthcare organization. The goal is to deliver data that is accurate, timely, and explainable, enabling practitioners to work more efficiently and client signals to be addressed better.
What you will do.
- Build and maintain data models and pipelines from source systems to reports and data deliveries.
- Build data streams in the data platform based on SQL and DBT.
- Combine multiple patient systems, client systems, and internal systems in the DWH.
- Deliver data to the Power BI front-end team, ensuring models are correct and fast.
- Provide datasets to the Data Science team and integrate their outcomes back into the platform.
- Deliver data to external recipients, such as municipalities and regulators.
- Opportunity to delve into the maintenance of the data platform.
Profile
You have a few years of experience in BI or data engineering and want to independently build models and pipelines within an established architecture, taking ownership of your deliverables.
What they ask
- Self-learning ability, collegiality, accuracy.
- Good SQL knowledge.
- Ability to set up a data model for reporting and data delivery, understanding Power BI's needs.
- Work experience on a cloud data platform.
- Experience with version control and familiar with CI/CD.
- Experience with DBT or a similar transformation layer.
- Good command of Dutch and English, both spoken and written.
- HBO (higher professional education) working and thinking level.
Preferences.
- Experience in healthcare.
- Specific experience with the data platform.
- Python, or experience with delivering data to a data science team.
- Interest in the technical side of Azure.
How to apply
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