Data engineer; Brussel

you play a vital role in designing, building, and maintaining the data infrastructure that supports the organization's data-driven initiatives. You collaborate with various stakeholders to ensure that data is accurately collected, stored, processed, and made accessible for analysis and decision-making.

• Data Pipeline Development:
  You design, develop, and maintain scalable data pipelines that efficiently ingest, process, and store data from various sources.
• Data Modeling:
  You create and maintain data models that support the organization's analytical and reporting needs. You ensure that data is structured in a way that facilitates easy access and analysis.
• Data Integration:
  You integrate data from multiple sources, including databases, APIs, and external data providers, to create a unified and comprehensive data ecosystem.
• Data Quality:
  You implement data quality checks and validation processes to ensure the accuracy, consistency, and reliability of the data.
• Data Storage:
  You design and manage data storage solutions, including data lakes, data warehouses, and databases, to ensure optimal performance and scalability.
• Collaboration:
  
  You work closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide them with the necessary data infrastructure and tools.
• Innovation:
  You stay updated with the latest technological trends and innovations in data engineering. You propose and evaluate new technologies and methodologies that can enhance the organization's data capabilities.
• Documentation:
  You prepare and maintain detailed documentation of data pipelines, data models, and data integration processes.
• Stakeholder Management:
  You communicate effectively with both technical and non-technical stakeholders to ensure that the data infrastructure meets their expectations and requirements.
• Continuous Improvement:
  You participate in retrospectives and continuous improvement initiatives to refine and enhance data engineering processes.

You have strong technical skills in data engineering, including proficiency in programming languages such as Python, Java, or Scala.

You have experience with data pipeline tools and frameworks, such as Apache Spark, Apache Kafka, and Apache Airflow.

You have knowledge of data storage solutions, including SQL and No

SQL databases, data lakes, and data warehouses.

You are familiar with cloud platforms, such as AWS, Azure, or Google Cloud, and their data services.

You have excellent communication and collaboration skills.

You are able to work in a fast-paced environment and manage multiple projects simultaneously.

We are looking for a proactive and innovative Data Engineer who can drive the development of robust data infrastructure. The ideal candidate should have a strong technical background, excellent communication skills, and a passion for delivering high-quality data solutions that meet business needs.