Data Engineer (Data Engineering Platform) - Brussels (Near Site) - International Organisation

The White Team
Brussels, Belgium
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Brussels, Belgium

Tech stack

Airflow
Amazon Web Services (AWS)
Apache HTTP Server
Azure
Google BigQuery
Information Engineering
Data Governance
Data Transformation
Data Systems
Distributed Computing Environment
Python
Metadata
Oracle
Oracle Applications
Performance Tuning
Software Engineering
SQL Databases
SQLAlchemy
Pulumi
Snowflake
Data Build Tool (dbt)
Data Lake
PySpark
Information Technology
Collibra
Kafka
Terraform
Data Pipelines
Databricks

Job description

Duties & Role:

· Design, build, and maintain data pipelines (batch and streaming)

· Develop and manage data transformation and modeling workflows

· Deploy and maintain production-grade data solutions

· Work with distributed data processing platforms (e.g., Databricks)

· Ensure data quality, reliability, and performance optimization

· Collaborate with stakeholders to translate business needs into technical solutions

· Support data platform architecture evolution (lakehouse / warehouse)

· Monitor pipelines and troubleshoot bottlenecks or failures

· Ensure compliance with data governance, security, and confidentiality policies

· Document solutions and communicate clearly with technical and non-technical stakeholders

Skill, Knowledge & Experience:

  • Minimum 5 years of experience in data engineering

  • Strong experience in:

  • Python

  • SQL

  • PySpark

  • Minimum 3 years of experience with dbt (data build tool) including:

  • Data transformation

  • Data modeling

  • Testing

  • Deployment in production

  • Minimum 3 years of experience with Databricks or similar distributed processing platforms

  • Excellent English (min. C1 level)

  • Bachelor's degree in:

  • Computer Science / IT / Software Engineering (or equivalent)

  • Strong experience delivering data pipelines in production environment

Desirable Skills:

· Experience with Oracle databases and dbt adapters (e.g., dbt-oracle)

· Experience designing data warehouses / lakehouses (Snowflake, BigQuery, Delta Lake)

· Experience with Kafka / Kafka Connect (streaming pipelines, real-time ingestion)

· Experience with orchestration tools:

  • Apache Airflow

  • Databricks Workflows

· Experience with Infrastructure as Code (Terraform, Pulumi)

· Experience with cloud platforms:

  • Azure

  • AWS

  • GCP

· Knowledge of data governance and metadata tools (e.g., Collibra)

**Location:**Brussels (Near Site)

Requirements

Engineering, Apache, SQL, Oracle, Oracle, Python, Site

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