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# Cheops - Data Engineer

- **Company:** Cheops
- **Location:** Oost-Vlaanderen, Belgium
- **Experience:** Experienced
- **Salary:** €42,240.0 - €102,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Databases, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Vault Modeling, Data Warehousing, DevOps, Python (Programming Language), MicroStrategy, NoSQL, Power BI, Scala (Programming Language), SQL Databases, Snowflake, Apache Spark, Git, Data Lakes, Kubernetes, Data Analytics, Bicep, Apache Kafka, Terraform, Azure Synapse Analytics, Docker, Amazon Redshift, Databricks, Programming Languages
- **Published:** August 4, 2026
- **Apply:** https://www.ictjob.be/en/job/cheops-data-engineer/8-340636

## About the Role

* Programmeertalen: Python, SQL, (Java/Scala), Shell
 * Cloud & Infra: Ervaring met Azure (Data Factory, Databricks, Synapse, Kubernetes), AWS/GCP en IaC (TerraForm, Bicep)
 * DevOps: GIT, CI/CD (Azure DevOps), Docker, Kubernetes
 * Data & Analytics: SQL- & NoSQL-databases, moderne datawarehouses (Snowflake, BigQuery, Redshift), Spark/Kafka (pluspunt)
 * Governance & BI: Kennis van GDPR & security, datamodellering (Data Vault) en rapportering met Power BI (DAX) of MicroStrategy

* Begrijp je de noden van de klant en speel je hier proactief op in
 * Beschik je over sterke communicatieve vaardigheden
 * Ben je leergierig en wil je jezelf blijven ontwikkelen
 * Heb je een scherp analytisch denkvermogen
 * Ben je een echte teamplayer

## Description

Als Data Engineer ben je verantwoordelijk voor het ontwerpen, bouwen en onderhouden van schaalbare data-infrastructuren en -pipelines, zodat data betrouwbaar, efficiënt en veilig beschikbaar is voor analyse en besluitvorming.

* Ontwerpen, bouwen en onderhouden van ETL/ELT data pipelines en integraties tussen diverse databronnen.
 * Beheren en optimaliseren van data warehouses en data lakes in on-premise en/of cloudomgevingen.
 * Waarborgen van data kwaliteit, betrouwbaarheid en consistentie door middel van monitoring en validatie.
 * Implementeren van data security, governance en compliance-standaarden.
 * Samenwerken met data scientists, analisten en business stakeholders om data-behoeften te vertalen naar technische oplossingen.
 * Onderzoeken en toepassen van nieuwe technologieën om de data-infrastructuur schaalbaarder en performanter te maken.


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