Data Engineer

itenium; Antwerpen; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

itenium is seeking a Data Engineer in Antwerp, Belgium. This role involves building and maintaining scalable ETL/ELT pipelines and optimizing data lakes and warehouses. Candidates should have at least 5 years in data engineering with strong SQL and Python skills, experience with cloud platforms like Azure, AWS, or GCP, and be fluent in Dutch. Contributing to data insights and collaborating with teams to automate workflows is key to this position.

Qualifications

• At least 5 years in data engineering or a related role, delivering production-grade solutions.
• Strong SQL and Python for transformation, orchestration, and automation.
• Hands-on with Azure/AWS/GCP and tools like ADF, Databricks, Spark or Kafka.
• Experience with ADLS/Snowflake/BigQuery and solid data modeling fundamentals.
• Fluent Dutch speaker, strong English, comfortable aligning with stakeholders and owning outcomes.

Responsabilités

• Build and maintain scalable, efficient ETL/ELT pipelines.
• Optimise data lakes and data warehouses for quality and performance.
• Design robust data models that support analytics and AI applications.
• Collaborate with analysts, data scientists and business stakeholders.
• Automate data workflows and contribute to CI/CD pipelines.

Connaissances

Data Engineering

SQL

Python

ETL/ELT

Cloud technologies

Data modeling

Fluent Dutch

English

Outils

Azure

AWS

GCP

ADF

Databricks

Spark

Kafka

ADLS

Snowflake

BigQuery

Description du poste

Data Engineer

Are you a Data Engineer who wants to make real impact with data? At Itenium, you help build the data backbone of our clients. You turn raw data into reliable insights, create scalable pipelines and work with the latest cloud technologies.

• Build and maintain scalable, efficient ETL/ELT pipelines
• Optimise data lakes and data warehouses for quality and performance
• Design robust data models that support analytics and AI applications
• Collaborate with analysts, data scientists and business stakeholders
• Automate data workflows and contribute to CI/CD pipelines

Qualifications

• At least 5 years in data engineering or a related role, delivering production‑grade solutions.
• Strong SQL and Python for transformation, orchestration, and automation.
• Hands‑on with Azure/AWS/GCP and tools like ADF, Databricks, Spark or Kafka.
• Experience with ADLS/Snowflake/BigQuery and solid data modeling fundamentals.
• Fluent Dutch speaker, strong English, comfortable aligning with stakeholders and owning outcomes.