Data Engineer - Azure based data platform

Editx

Genk

On-site

EUR 55,000 - 80,000

Full time

2 days ago
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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

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
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