Azure Data Engineer: Pipelines, Data Lake & Quality

Editx; Genk; On-site; EUR 55,000 - 80,000; Full time

Job summary

Editx is seeking a Data Engineer to support the development and maintenance of an Azure-based data platform. This hands-on role focuses on SQL transformations, data pipelines and platform optimisation to deliver high-quality, accessible data for analytics and reporting across the organisation.

You will build, monitor and optimize pipelines using Azure Synapse and Data Factory, design data storage solutions, and ensure data quality and performance while collaborating with analysts to produce

Qualifications

• Experience building data pipelines in Azure.
• Proficient in SQL transformations and data modelling.
• Knowledge of data governance, security and compliance requirements.
• Hands-on, execution-focused data engineering role with end-to-end delivery.

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, reliability and performance across the platform.
• Collaborate with analysts and business teams to deliver reliable datasets.
• Support data governance, security and compliance requirements.

Skills

SQL

Data pipelines

Data quality

Azure Synapse

Azure Data Factory

Data Lake

Tools

Azure Synapse

Azure Data Factory

SQL Server

Azure Data Lake

Job description

Editx is seeking a Data Engineer to support the development and maintenance of an Azure-based data platform. This hands-on role focuses on SQL transformations, data pipelines and platform optimisation to deliver high-quality, accessible data for analytics and reporting across the organisation.

You will build, monitor and optimize pipelines using Azure Synapse and Data Factory, design data storage solutions, and ensure data quality and performance while collaborating with analysts to produce