Data Engineer

Il y a 21 heures

Antwerp Berchem, Belgique V-IT Cronos Temps plein

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Gratuit avec email ou Google

Description

The Antwerp Police Zone is the developer and co-manager of the national platform FOCUS. The platform supports the basic care of the integrated police in all its operations. In the coming years, it will be further expanded as the standard tool for police reports and procedures.
The police information processed in FOCUS will also be offered for exploitation in other processes such as strategic reporting and data mining and analysis.
To facilitate this capability for the GPI, the Antwerp police zone is working on the further development of a FOCUS data lake house (bronze and silver).
In the coming years, substantial investments will be made in this process. On the one hand, the underlying technology is being renewed, and on the other hand, data pipelines and transformations are being further developed.
In the short term, the FOCUS development organization will also provide support to a number of police units that want to get started with Power BI as a client of the current FOCUS datalake API.
We are looking for a versatile and experienced Data Engineer / BI Developer who is strong in backend data engineering as well as in unlocking and visualizing data via Power BI.
The role combines building robust data pipelines and data models with developing high-performance and user-friendly reporting for business users.

Purpose of the role

Realizing end-to-end data solutions: from raw data to insights.
The candidate ensures that data is correctly processed, modelled and made accessible, and that it is made effectively usable via dashboards and reports.

Responsibilities

Backend / Data Engineering

Migrating existing data pipelines and data warehouse structures
Developing and maintaining data pipelines and data transformations
Modeling data according to common principles (Kimball, Inmon, Data Vault)
Developing SQL- and Python-based data processing logic
Experience with commercial data platforms (Fabric, databricks), open source solutions (Apache products), dbt
Contribute to best practices around data engineering, versioning and deployment
Improve scalability, reliability and maintainability of the data lake house

BI & Visualization (Power BI)

End-to-end collaboration