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# Data Engineer x Databricks

- **Company:** LGA IT
- **Location:** Roeselare, Belgium (Remote available)
- **Salary:** €42,000.0 - €48,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Information Systems, Data Architecture, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Cloud Services, SQL Databases, Google Cloud, Azure Data Factory, Snowflake, Information Technology, Data Management, Azure Synapse Analytics, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.adzuna.be/details/5826677002

## About the Role

* Je hebt een achtergrond in Computer Science, IT, Data Management (of gelijkwaardig door ervaring) en minstens een paar jaar ervaring als Data Engineer.

 * Ervaring met Cloud Data Platforms (bijv. Azure Data Factory / Synapse, Databricks, Snowflake of GCP).
 * Data warehouse-architectuur, datamodellering (bijv. Sternschema's) en API-koppelingen.
 * Sterke kennis van Python en SQL is binnen deze job zeer belangrijk

## Description

Als Data Engineer speel jij hierin de hoofdrol. Jij bent de architect en bouwer van de pipelines die alle informatiestromen (van interne IT-systemen en CRM-data tot externe marktgegevens en klantinteracties) centraal samenbrengen in een performante cloudomgeving.

* Data Architecture & Pipelines: Je ontwerpt, bouwt en onderhoudt betrouwbare ETL/ELT-pipelines die data uit uiteenlopende bronnen snel en veilig overbrengen naar het centrale data warehouse.

 * Data Modellering: Structureren en optimaliseren van datamodellen zodat ontwikkelaars, data-analisten en business intelligence-collega's direct met schone, gestructureerde data aan de slag kunnen.

 * Kwaliteit & Performance: Je monitort de datastromen, bent alert op afwijkingen en optimaliseert continu de query-performance, beveiliging en schaalbaarheid.

 * Co-creatie & Innovatie: Pro-actief meedenken over nieuwe technologieën, schaalbare cloudoplossingen en innovatieve toepassingen (zoals AI en predictive analytics).

 * Brug tussen Business & IT: Je vertaalt de behoeften van interne stakeholders en businessunits naar concrete, robuuste technische oplossingen.


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