Data Engineer - internal role

Editx; Genk; On-site; EUR 60,000 - 90,000; Full time

Job summary

Editx in Genk, Belgium is seeking a hands-on Data Engineer to support the Azure-based data platform. You will focus on SQL transformations, data pipelines, and platform optimization to enable analytics and reporting across the organization.

You will build, monitor and optimize pipelines with Azure Synapse and Data Factory, design data storage with Azure Data Lake and Synapse Analytics, and ensure data quality and performance while collaborating with analysts and business teams.

Qualifications

• Experience building data pipelines using Azure cloud services.
• Strong SQL fundamentals and data transformation skills.
• Ability to ensure data quality, reliability, and performance.

Responsibilities

• Build, monitor and optimize data pipelines using Azure Synapse and Data Factory.
• Design and optimize data storage solutions (Azure Data Lake, Synapse Analytics).
• Develop and maintain scalable SQL transformations.
• Ensure data quality and performance across the platform.
• Collaborate with analysts and business teams to deliver usable datasets.
• Support data governance, security, and compliance requirements.

Skills

Azure Synapse

Azure Data Factory

SQL

Data pipelines

Tools

Azure Data Lake

Synapse Analytics

Job description

We are looking for a Data Engineer to support the development and maintenance of an Azure-based data platform, ensuring data is accessible, high-quality, and fit for purpose.

This is a hands-on, execution-focused data engineering role, where you will work primarily on SQL transformations, data pipelines, and platform optimisation. You will contribute to building robust and scalable data solutions that enable analytics and reporting across the organisation.

Key Responsibilities

• You build, monitor and optimize data pipelines using Azure Synapse and Data Factory
• You design and optimize data storage solutions (Azure Data Lake, Synapse Analytics)
• You develop and maintain scalable SQL transformations
• You ensure data quality, reliability, and performance across the platfform
• You collaborate with analysts and business teams to deliver reliable and usable datasets
• You support data governance, security, and compliance requirements