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Data Engineer

TCrew
Brussels Metropolitan Area, Belgium
1 day ago
Apply on www.adzuna.be
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
Dutch
Job source
www.adzuna.be

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis Databases Data Governance Data Integration Extract Transform Load (ETL) Python (Programming Language) Scala (Programming Language) Pulumi Apache Spark Data Lakes
+4 more
Pyspark Restful APIs Terraform Databricks

Job description

Je werkt mee aan de ontwikkeling van herbruikbare data-componenten waarmee gebruikers sneller en eenvoudiger inzichten uit data kunnen halen, binnen een innovatieve omgeving gericht op experimentatie en verbetering.

  • Ontwikkelen van schaalbare en betrouwbare ETL-pipelines
  • Verbinden van verschillende databronnen (databases, REST API’s, enz.)
  • Verwerken van grote datasets met Spark / PySpark
  • Bouwen en beheren van data-oplossingen binnen Databricks
  • Onderzoeken en valideren van nieuwe Data & AI-technologieën
  • Ontwikkelen van Infrastructure as Code-oplossingen met Terraform en/of Pulumi

Requirements

Minimaal 3 jaar ervaring als Data Engineer

Sterke hands-on ervaring met Databricks (vereist)

Ervaring met Python, Java of Scala voor dataflows en ETL-processen

Ervaring met ETL-design en data-integratie

Kennis van Spark/PySpark, Data Lake/Delta Lake en databases

Nederlands op C2-niveau (professioneel/native niveau)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.be
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:55 min

Contrasting Terraform with Pulumi and cloud-specific tools

Devlin Duldulao · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all
PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Why segmenting your infrastructure into tiers makes your infrastructure design better thumbnail
27:13
Europe 2026 Virtual • 2 months ago

Why segmenting your infrastructure into tiers makes your infrastructure design better

Thameez Bodhanya

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

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