Data Engineer - Azure

Intro

We are looking for an experienced Data Engineer to strengthen an Azure-based data platform. You will turn business needs into reliable datasets, develop efficient data pipelines, and contribute to the platform’s ongoing improvement. Working alongside the Data Lead, Data Architect, and business stakeholders, you will combine hands-on delivery with a critical view of technical choices.

Tasks

• Translate reporting and analytical needs into well-structured, accessible datasets in collaboration with analysts and business teams.
• Develop, maintain, and tune data pipelines using Azure Data Factory and Azure Synapse.
• Build scalable SQL transformations and improve existing processing logic.
• Design and refine storage solutions within Azure Data Lake and Synapse Analytics.
• Monitor data flows and resolve issues affecting data quality, reliability, or performance.
• Identify opportunities to improve data models, pipeline efficiency, and platform performance, and take ownership of implementing them.
• Contribute to technical discussions with the Data Lead and Data Architect.
• Apply data governance, security, and compliance requirements throughout your work.
• Evaluate technologies such as Microsoft Fabric and Databricks, focusing on their practical value for the platform.

Requirements

• Around 3 years of experience in data engineering, ideally within an Azure environment.
• Strong SQL expertise and practical experience with data transformation processes and modern data platforms.
• A good understanding of data modelling, schema design, and scalable pipeline development.
• Experience processing large datasets with attention to efficiency and performance.
• The ability to explain technical ideas clearly and collaborate with both business and technical stakeholders.
• Curiosity about emerging technologies and sound judgement about when to apply them.
• Fluency in English; knowledge of Dutch is an advantage.

Extra

• Competitive salary (+ car, meal vouchers, insurance)
• Location: Limburg
• Hybrid remote policy
• Fixed contract